Seat system

Abstract

The purpose of the present application is to enable a seat system to provide an exercise plan suitable for a body state, biological information, and activity information to a seated person. The seat system comprises a seat S, a wearable device W and a terminal device SP. The seat main body S0 is provided with first sensors (pressure sensors PS1 to PS6), and first information acquired by the first sensors is used for detecting the movement of the seated person. The wearable device W is worn by the seated person and includes a second sensor (acceleration sensor W2) that acquires second information for detecting a physical state of the seated person. The terminal device SP is arranged to propose an exercise plan using the first sensor to the seated person on the basis of the second information.

Description

[0001] This application is a divisional application of international application number PCT / JP2019 / 046360, application number 201980079366.3 entering the Chinese national phase (application date November 27, 2019), and named "Seat system and seat-type experience device". Technical Field

[0002] The present invention relates to a seat system with a sensor in the seat and a seat-type experience device. Background Art

[0003] A vehicle seat having a plurality of pressure sensors disposed on the seat for detecting the sitting posture of a seated person is known in the art (Patent Document 1). A device such as a pressure sensor disposed on the driver's seat for inferring the sitting posture of a seated person is also known in the art (Patent Document 2).

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Publication No. 2017-65504

[0006] Patent Document 2: Japanese Patent Application Laid-Open No. 11-064131 Summary of the Invention

[0007] However, since the vehicle seat of Patent Document 1 merely evaluates and prompts the driver's posture, there is a problem in that the functions of the vehicle seat are not effectively utilized.

[0008] As a form of utilization, the present application provides a seating system and a chair-type experience device that add new value to the seating. For example, when using a chair equipped with sensors to play a competitive game, even if the players' athletic abilities vary greatly, the seating system and chair-type experience device can allow players to compete at the same level.

[0009] A seat system includes a seat, a terminal, and a server. The seat includes a seat body and a sensor. The sensor is arranged on the seat body and obtains information for detecting the movements of a person sitting on the seat. The terminal obtains the information from the sensor, and the server can communicate with the terminal.

[0010] The terminal executes a game program based on the acquired information. The game program utilizes the sensor. The execution of the game program provides a game for the seated person. The game runs with the participation of the seated person. The terminal obtains the results of the game in which the seated person participates.

[0011] The server obtains the running results of the game from other terminals, integrates the results to generate integrated data, and calculates a benchmark value of the game running results based on the integrated data.

[0012] The terminal or the server sets the difficulty level of the game in the terminal based on the reference value and the result of the game played by the seated user, and the terminal distributes the difficulty level of the game to the game being played.

[0013] In addition, a chair-type experience device includes a seat and a terminal. The seat includes a seat body and a sensor. The sensor is provided on the seat body and obtains information for detecting the movement of the seated person. The terminal obtains the information from the sensor and is capable of communicating with a server. The device is characterized in that:

[0014] The terminal executes a game program based on the acquired information. The game program utilizes the sensor. The execution of the game program provides a game for the seated person. The game runs with the participation of the seated person. The terminal obtains the results of the game in which the seated person participates.

[0015] The server obtains the running results of the game from other terminals, integrates the results to generate integrated data, and calculates a benchmark value of the game running results based on the integrated data.

[0016] The terminal or the server sets the difficulty level of the game in the terminal according to the reference value and the running result of the seated participants.

[0017] The terminal reflects the difficulty level of the game in the running of the game.

[0018] With such a seating system or such a seating experience device, a difficulty level set based on a baseline value calculated based on the results of a game played on another terminal device and the results of the game played by the seated user is reflected in the game on the seated user's terminal device. Therefore, when the person playing the game on the other terminal device plays a game against the seated user, they can compete at the same level.

[0019] The terminal or the server sets the difficulty level based on the control amount of the control object in the game, the operation result in which the seated person participates, and the reference value.

[0020] According to this configuration, since the control amount is set according to the difficulty level of the game, compared with other schemes in which the difficulty level is reflected in the execution result, an effect can be achieved, for example, that enables the target controlled on another terminal device and the target controlled on the seated terminal device to compete on the same screen.

[0021] The terminal or the server associates the operation results of the seated person's participation with the seated person's user identification information and saves them as personal statistical results. Based on the personal statistical results, the terminal or the server calculates the personal benchmark value of the operation results when the seated person corresponds to the user identification information, and sets the difficulty level based on the personal benchmark value and the benchmark value.

[0022] Because each player's results are accumulated as individual statistics, the impact of variations in their game results can be reduced when assigning difficulty levels. Consequently, significant fluctuations in difficulty levels caused by variations in results can be reduced.

[0023] The benchmark value is the average value of the accumulated operating results in the integrated data.

[0024] According to this configuration, for example, compared with a scheme in which the median value of the game execution results stored in the integrated data is used as the reference value, an appropriate reference value can be easily calculated.

[0025] The terminal or the server reduces the difficulty level when the result of the game in which the seated person participates is worse than the reference value.

[0026] The terminal or the server increases the difficulty level when the result of the game in which the seated person participates is better than a reference value.

[0027] In the specific example described below, a program is disclosed that works together with a system for a seat with a sensor to obtain information from the seat with a sensor and cause a terminal device to perform an operation.

[0028] Providing seating systems and programs that enable seat occupants to correctly execute exercise programs provides new added value to the chair.

[0029] The seat system includes a seat, which includes a seat body and a plurality of sensors arranged on the seat body, the sensors being used to obtain motion information of a seated person sitting on the seat body, and a terminal device, which is used to obtain the information from the sensors.

[0030] The terminal device is used to issue instructions to instruct the seated person to make a prescribed posture, and display multiple first images corresponding to the positions of multiple sensors set on the seat body on the screen of the terminal device. When the seated person makes a prescribed posture on the seat body, the target sensor reacts more strongly than the non-target sensor (not the target sensor), and the first image corresponding to the target sensor is displayed, which is more prominent than the other first images. Based on the information, an evaluation value of the degree of matching between the seated person's posture and the prescribed posture is calculated.

[0031] The program drives the terminal device to operate based on information obtained from multiple sensors installed on the seat body.

[0032] The program enables the terminal device to instruct the seated person to make a prescribed posture, displays multiple first images at positions corresponding to multiple sensors set on the seat body, and when the seated person makes a prescribed posture on the seat, the first image corresponding to the target sensor produces a stronger reaction than the non-target sensor and is more prominent than the other first images. Based on the above information, an evaluation value of the degree of matching between the seated person's posture and the prescribed posture is calculated.

[0033] According to such a seating system or program, when a seated person sitting on the seat makes a prescribed posture according to instructions from a terminal device, the first image corresponding to the target sensor is displayed more prominently than other first images, enabling the seated person sitting on the seat to correctly perform an exercise plan.

[0034] The terminal device may change the prescribed posture for each prescribed time period.

[0035] The terminal device may display the first image corresponding to the target sensor in a color different from that of other first images.

[0036] According to this configuration, the first image corresponding to the target sensor can be clearly highlighted due to the difference in color.

[0037] The terminal device can display multiple second images on the screen, which are located at positions corresponding to multiple sensors set on the seat body, and based on this information, when the occupant makes a prescribed posture on the seat body, the sensor corresponding to the second image reacts more strongly than other sensors and is displayed more prominently than other second images.

[0038] According to this configuration, the first image for the purpose of acquiring the posture and the second image that changes according to the movement of the seated person are displayed on the screen, so it is possible to correctly confirm whether the seated person makes a prescribed posture.

[0039] The terminal device may display the second image corresponding to the sensors that react more strongly and are larger than the second images corresponding to other sensors.

[0040] According to this configuration, the second image corresponding to the sensor having a stronger response can be highlighted by the difference in size.

[0041] The terminal device can display multiple first images and multiple second images side by side on the screen.

[0042] According to this configuration, since the plurality of first images and the plurality of second images are displayed side by side, it is possible to easily compare the first image as a target and the second image that changes according to the movement of the seated person.

[0043] The terminal device may display multiple first images and multiple second images on the screen in an overlapping manner.

[0044] According to this structure, since the plurality of first images and the plurality of second images overlap, the seated person can easily compare the first image as a target and the second image that changes according to the seated person's movement.

[0045] The terminal device can obtain a higher evaluation value for information acquired from a target sensor within a specified time period for a specified posture when the information is greater than or equal to a first threshold than when the information is less than the first threshold.

[0046] According to this configuration, for example, a prescribed posture is performed at a specified time point, and an evaluation value is calculated based on this information. Compared with this method, in which the evaluation value is calculated based on information obtained within a prescribed time period, the method of obtaining information within a time period can more accurately judge the degree of match between the seated person's posture and the prescribed posture.

[0047] The terminal device can obtain a higher evaluation value for information acquired from a non-target sensor within a specified time period for a specified posture when the information is less than or equal to the second threshold than when the information is greater than the second threshold.

[0048] According to this configuration, for example, a prescribed posture is performed at a specified time point, and an evaluation value is calculated based on this information. Compared with this method, in which the evaluation value is calculated based on information obtained within a prescribed time period, the method of obtaining information within a time period can more accurately judge the degree of match between the seated person's posture and the prescribed posture.

[0049] The seat body may include a seat cushion and a seat back, and the sensor may be provided in both the seat cushion and the seat back.

[0050] According to this structure, since the sensor can detect the movement of the upper and lower body of the seated person, the prescribed posture can include various postures, and the seated person can be instructed to perform various movements.

[0051] The sensor may be a pressure sensor.

[0052] According to this configuration, for example, compared to using an optical sensor that only provides on and off output signals as a sensor, the pressure sensor can obtain arbitrarily varying pressure values, the prominence of the first image can be set to three or more levels, and the prescribed posture can include various variations.

[0053] In the specific example described below, a seating system is disclosed that includes an experience device capable of detecting occupant motion and operating the seat.

[0054] The device described in Patent Document 2 is not effective because it only evaluates and displays the driver's sitting posture. Therefore, the developers of this invention are considering a seat system that would add new value by operating a seat experience device based on the occupant's movements. This seat could be considered more than just a seat; it could be a place for exercise.

[0055] However, if only one type of sensor is used to detect the seated person's movements and operate the chair experience device, there is a problem that people who cannot make movements suitable for the sensor, such as some disabled people, cannot use the chair to perform exercises.

[0056] Hopefully, many people will be able to use this seat for exercise.

[0057] A seat system includes a first seat body, a second seat body, a first sensor arranged on the first seat body and used to obtain a first measurement value for detecting the movement of a seated person sitting on the first seat body, a second sensor arranged on the second seat body and used to obtain a second measurement value for detecting the movement of a seated person sitting on the second seat body, a second sensor different from the first sensor, and a seat experience device capable of obtaining the first measurement value from the first sensor and obtaining the second measurement value from the second sensor.

[0058] The seat experience device includes a motion detection unit that detects the seated user's motion based on an acquired input signal, thereby detecting the seated user's motion using the first measurement value or the second measurement value. The motion detection unit of the seat experience device can perform a specific operation based on the detected seated user's motion.

[0059] With this configuration, a person sitting in the first seat can have the first sensor detect motion and have the seat experience device perform a specific action based on that detection. Conversely, a person sitting in the second seat can have the second sensor detect motion and have the seat experience device perform a specific action based on that detection. Therefore, even people whose motion can only be detected by either the first or second sensor can use the seat to exercise. This makes it possible for a wide range of people to use the seat for exercise. For example, even those who cannot perform normal movements can use the seat to participate in a community and enjoy a pleasant experience.

[0060] In another aspect, the seat system may include a seat body, a first sensor disposed in the seat body, the first sensor configured to obtain a first measurement value for detecting movement of a seated person seated in the seat body, a second sensor disposed in the seat body and configured to obtain a second measurement value different from the first measurement value, and a seat experience device configured to obtain the first measurement value from the first sensor and the second measurement value from the second sensor. In other words, a single seat body includes the first sensor and the second sensor.

[0061] With this configuration, a person sitting in the seat can have the first sensor detect movement and have the seat experience device perform a specific operation based on that detection, and can also have the second sensor detect movement and have the seat experience device perform a specific operation based on that detection. Therefore, even people whose movements can only be detected by either the first or second sensor can use the seat to exercise. Consequently, a wide range of people can use the seat to exercise.

[0062] In the above-mentioned seat system, it is desirable that the seat experience device can prompt the seated person to exercise.

[0063] According to this configuration, it is possible to instruct the seated person to perform exercises and effectively use the seating system.

[0064] In the above seat system, the second sensor includes an amplifier circuit for approximating the amplitude of the second measurement value to the amplitude of the first measurement value.

[0065] According to this configuration, there is no need to adjust the input signal of the seat experience device from the sensor.

[0066] In the above-mentioned seat system, the seat experience device may include a sensor distinguishing unit, which can identify the connected sensor, which is one of the first sensor or the second sensor for obtaining the measurement value, and a signal correction unit. When the sensor identified in the sensor distinguishing unit is the second sensor, in order to make the amplitude of the input signal approximate to the signal obtained from the first sensor, it is necessary to correct the amplitude of the signal obtained from the second sensor.

[0067] According to this configuration, by correcting the amplitude of the input signal corresponding to the characteristics of the second sensor, the seat experience device operates similarly when using the second sensor as when using the first sensor.

[0068] In the above-described seat system, the seat experience device may include a sensor distinguishing unit that identifies whether the connected sensor is a first sensor or a second sensor for acquiring a measurement value, and a threshold setting unit that sets a first threshold value as a threshold value when the sensor distinguishing unit identifies the first sensor, and sets a second threshold value different from the first threshold value as a threshold value when the sensor distinguishing unit identifies the second sensor. In this case, the motion detection unit may detect motion of the seated person by comparing an input signal with the threshold value set in the threshold setting unit.

[0069] According to this configuration, by setting thresholds according to respective characteristics of the first and second sensors, the seat experience device can be operated in a manner similar to that when the first sensor is used when the second sensor is used.

[0070] The seat system may include a first connector connected to a first sensor and including a plurality of terminals, a second connector connected to a second sensor and including a plurality of terminals, and a third connector connectable to the first and second sensors and to the seat experience device. In this case, the connection combination between the plurality of terminals of the second connector is different from the connection combination between the plurality of terminals of the first connector, and the sensor identification unit may identify whether the connected sensor is the first sensor or the second sensor by identifying whether the connector connected to the third connector is the first connector or the second connector.

[0071] The third connector includes a common output terminal set at a specified voltage and at least one identification signal input terminal for detecting voltage, the first connector and the second connector include a common input terminal in contact with the common output terminal, at least one of the first connector and the second connector includes at least one identification terminal, the identification terminal contacts the identification signal input terminal and is connected to the common input terminal through an electrical signal, and the arrangement of the parts of the first connector and the second connector corresponding to the at least one identification signal input terminal are different from each other.

[0072] According to this configuration, the seat experience device can identify the type of sensor even without including an IC chip or the like having a storage medium.

[0073] In the specific examples described below, another aspect of a seat system having a sensor in a seat is disclosed.

[0074] A method that can bring new value is proposed, providing a seating system that can provide a motion plan for a seated person sitting in a seat with sensors, where the motion plan is suitable for the seated person's body information, biological information, activity information, etc.

[0075] The seat system includes a seat body and a first sensor arranged on the seat body, the first sensor is used to obtain first information for detecting the movement of a seated person sitting on the seat body, a wearable device worn by the seated person, including a second sensor for obtaining second information for detecting the physical state of the seated person, and a terminal device that can obtain the first information from the first sensor and the second information from the wearable device.

[0076] The terminal device proposes an exercise plan using the first sensor to the seated person based on the second information.

[0077] According to this configuration, since the terminal device proposes an exercise plan using the first sensor to the seated person based on the second information obtained by the wearable device worn by the seated person, an exercise plan suitable for the physical condition, biological information, activity information, etc. can be proposed to the seated person.

[0078] The first sensor may be a pressure sensor, and the first information may be a pressure value.

[0079] According to this configuration, an exercise plan for encouraging the seated person to exercise using the pressure sensor can be proposed to the seated person, for example.

[0080] The terminal device can determine whether the seated person is sitting on the seat body based on the first information, and propose an exercise plan to the seated person if it is determined that the seated person is sitting.

[0081] According to this configuration, since the plan is proposed when the seated person is able to use the seat, the seated person can quickly select and execute the plan.

[0082] When the seated person executes the plan, the terminal device may calculate the amount of exercise of the seated person implementing the plan based on the first information and notify the seated person of the amount of exercise.

[0083] According to this configuration, since the amount of exercise is calculated and notified to the seated occupant while the seated occupant is executing the plan, the seated occupant can easily know how much exercise has been performed.

[0084] When the seated person executes the plan, the terminal device may calculate the amount of exercise of the seated person when the seated person implements the plan based on the first information, and propose a plan based on the amount of exercise and the second information.

[0085] According to this configuration, after executing the plan determined based on the second information, the plan is determined again based on the amount of exercise as a result of the execution of the plan and the second information, and the plan is proposed to the seated person, thereby proposing a plan that best suits the physical condition of the occupant at that time.

[0086] The terminal device can send exercise data to the wearable device.

[0087] According to this configuration, the amount of exercise on the seat can be used in the wearable device; thus, for example, the wearable device can be caused to store the accurate amount of exercise.

[0088] The terminal device may compare the second information with a specific reference value to determine a solution to be proposed to the seated person.

[0089] Based on this configuration, an appropriate solution can be determined in the terminal device. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 This is an explanatory diagram of the seat system (first embodiment);

[0091] Figure 2 This is a structural diagram of the seat system;

[0092] Figure 3 This is a graph of pressure changes during the 100-meter running game;

[0093] Figure 4 An illustration of the integrated data stored in the server;

[0094] Figure 5 It is a process flow chart in the smartphone;

[0095] Figure 6 A flowchart for match processing in smartphones;

[0096] Figure 7 is a processing flow chart in the server;

[0097] Figure 8 This is an illustration of the start page of the seat software;

[0098] Figure 9 Flowchart of match processing (first variant);

[0099] Figure 10 Flowchart of server processing (first variant);

[0100] Figure 11 This is a processing flow chart of a smartphone (second variant);

[0101] Figure 12 This is a flowchart of the match processing (second variant);

[0102] Figure 13 Flowchart of server processing (second variant);

[0103] Figure 14 This is an explanatory diagram of the seat system (second embodiment);

[0104] Figure 15 It is a process flow chart in the smartphone;

[0105] Figure 16 Illustration for the start page;

[0106] Figure 17 This is a page illustration for starting the sitting posture recognition mode;

[0107] Figure 18 This is an illustration of the recognition results of the sitting posture recognition mode;

[0108] Figure 19 Illustration of the page at the beginning of the practice mode and exercise game;

[0109] Figure 20 This is a page illustration showing how to bend and lift the right leg;

[0110] Figure 21 This is a page illustration showing the base posture.

[0111] Figure 22 This is a page instruction diagram for bending and lifting the left leg;

[0112] Figure 23 Illustration of the page for practice mode and end of exercise game;

[0113] Figure 24 A diagram illustrating a table for calculating evaluation values based on exercise scores;

[0114] Figure 25 An explanatory diagram showing a modified example of the first image and the second image;

[0115] Figure 26 This is an explanatory diagram of the connection between the first seat and the seat-type experience device (third embodiment);

[0116] Figure 27 This is an explanatory diagram of the connection between the second seat and the seat-type experience device (third embodiment);

[0117] Figure 28 1 is a structural diagram illustrating a seat system (third embodiment);

[0118] Figure 29 (a) is the time variation diagram of the pressure sensor measurement value; Figure 29 (b) is the time variation diagram of the measurement signal;

[0119] Figure 30 (a) is the time variation diagram of the infrared sensor measurement value; Figure 30 (b) is the time variation diagram of the input signal after correction; Figure 30 (c) is the time variation diagram of the measurement signal;

[0120] Figure 31 (a) is an oblique view of a first connector and a second connector as an example; Figure 31 (b) is a table showing the terminal (No) numbers and corresponding functions;

[0121] Figure 32 (a) is a table showing the function of terminal No. 14; Figure 32 (b) is a table showing the functions corresponding to the No. 15 to 17 terminal combinations;

[0122] Figure 33 Flowchart for ECU processing (an example);

[0123] Figure 34 Flowchart for smartphone processing (an example);

[0124] Figure 35 is a block diagram of a seat system (fourth embodiment);

[0125] Figure 36 A flowchart of a smartphone process (an example) (fourth embodiment);

[0126] Figure 37 4. (a) is a graph showing the time variation of the infrared sensor measurement value; (b) is a graph showing the time variation of the measurement signal;

[0127] Figure 38 A circuit diagram of a second sensor (an example) (fifth embodiment);

[0128] Figure 39 is a system structure diagram of a seat system (sixth embodiment);

[0129] Figure 40 2 is a system structure diagram of a seat system (seventh embodiment);

[0130] Figure 41 is an explanatory diagram of a seat system (eighth embodiment);

[0131] Figure 42 This is a system description diagram of the seat system;

[0132] Figure 43 A diagram illustrating a table for determining exercise programs based on step counts;

[0133] Figure 44 Flowchart of smartphone control;

[0134] Figure 45 A page illustration to remind seated passengers to take their seats;

[0135] Figure 46 This is an illustration of a page recommending a 100-meter run;

[0136] Figure 47 Illustration of the page recommending sitting meditation;

[0137] Figure 48 Illustration of the page that recommends taking a break. DETAILED DESCRIPTION

[0138] [First embodiment]

[0139] Next, a first embodiment will be described with reference to the drawings.

[0140] like Figure 1 As shown, the seat system 1 includes a seat-type experience device SM and a server SV. The seat-type experience device SM includes a seat S and a smartphone SP as an example of a terminal device.

[0141] Server SV is also used in another seating system 1A. Specifically, this seating system 1A is used by a person other than the seated person P using seating system 1 (hereinafter also referred to as "the other person PA"). This seating system 1A includes a seating experience device SM (seat S and smartphone SP) and server SV. Since the hardware that makes up each system 1 and 1A has the same structure and functions, the hardware that makes up seating system 1 will be described below.

[0142] In the example, the seat S is a vehicle seat installed in a vehicle such as a car. Hereinafter, front and back, left and right, and up and down are defined based on the position of a seated person P sitting on the seat S.

[0143] like Figure 2 As shown, the seat S includes a seat body S0 and an ECU (electronic control unit) 100. The seat body S0 includes a seat cushion S1 and a seat back S2. The seat cushion S1 and the seat back S2 each include a seat cushion pad 20 and a cover 10 covering the seat cushion pad 20. The seat cushion pad 20 is made of polyurethane foam or a similar material and is supported by a frame (not shown). The cover 10 is made of artificial leather, fabric, or the like.

[0144] A plurality of pressure sensors PS1-PS6 are provided beneath the cover 10 of the seat cushion S1 and seat back S2. These pressure sensors PS1-PS6 are examples of sensors that can acquire measurement values, which are used to detect the motion of a seated person P seated on the seat body S0. The pressure sensors PS1-PS6 are positioned so as to detect the state of the seat surface facing the seated person P seated on the seat body S0 and to acquire pressure values of the seated person P seated on the seat body S0.

[0145] The pressure sensors PS1 to PS6 are provided in pairs, with each sensor being located on the left and right sides, symmetrical with respect to the left and right center positions of the vehicle seat S.

[0146] More specifically, pressure sensors PS1 through PS3 are provided on seat cushion S1. Pressure sensors PS1 and PS2 are located on seat cushion S1 at positions corresponding to the buttocks of the seated occupant P. Pressure sensors PS1 and PS2 constitute a first seat cushion sensor SC1 for measuring pressure from the buttocks of the seated occupant P. Pressure sensor PS2 is located slightly forward of pressure sensor PS1. The first seat cushion sensor SC1 may include only one pair of pressure sensors PS1 and PS2.

[0147] The pressure sensor PS3 is located under the thigh of the seated person P. The pressure sensor PS3 constitutes the second seat cushion sensor SC2 and is used to measure the pressure value of the seated person's thigh P. The pressure sensor PS3 is located in the front and away from the pressure sensor PS1 and the pressure sensor PS2.

[0148] Pressure sensors PS4 to PS6 are installed on the seat back S1. Pressure sensor PS4 is located at a position corresponding to the back of the occupant P's waist. Pressure sensor PS5 is located slightly above pressure sensor PS4. Pressure sensors PS4 and PS5 together constitute the first back sensor SB1, which measures pressure on the occupant P's waist. The first back sensor SB1 can also consist of only pressure sensor PS4 or only pressure sensor PS5.

[0149] Pressure sensor PS6 is located above and away from pressure sensors PS4 and PS5. It is located at a position corresponding to the upper back of the seated person P. Pressure sensor PS6 constitutes the second back sensor SB2, which is used to measure the pressure value of the seated person's shoulder blade P.

[0150] The pressure sensors PS1 to PS6 are elements whose resistance changes in accordance with the external pressure applied thereto, wherein the voltage of the detection signal becomes higher (or lower, as the case may be) as the pressure value increases.

[0151] At the position corresponding to each of the pressure sensors PS1 to PS6, a coating 35 providing a position mark is applied to the outer surface of the outer shell 10. Since the coating 35 is applied to the outer surface of the outer shell 10, the coating 35 is exposed to the outside of the outer shell 10. The color of the coating 35 is different from the color of the outer surface of the outer shell 10. Specifically, for example, if the outer surface of the outer shell 10 is black, the color of the coating 35 can be yellow, with the yellow highlighting the black.

[0152] Such a coating 35 provides markings so that before the occupant P sits on the seat S, the positions of the respective pressure sensors PS1 to PS6 can be visually identified from the outside of the seat body S0.

[0153] The ECU 100 is connected to the pressure sensors PS1 to PS6 and can acquire pressure values from the pressure sensors PS1 to PS6 . The ECU 100 can transmit information detected by the pressure sensors PS1 to PS6 to the smartphone SP.

[0154] More specifically, the ECU 100 is connected to a short-range communication device 3A capable of near-field wireless communication such as Bluetooth (registered trademark) or Wi-Fi (registered trademark). The ECU 100 can communicate with a smartphone SP via the short-range communication device 3A. The smartphone SP can communicate with a server SV via the Internet.

[0155] The ECU 100 , the smartphone SP, and the server SV each include a CPU, a ROM, a RAM, a rewritable nonvolatile memory, etc. (not shown), and execute preset programs. The smartphone SP also includes a display screen DSP.

[0156] The smartphone SP has a function for acquiring pressure values from corresponding pressure sensors PS1 to PS6 via the ECU 100. A seat application is installed on the smartphone SP. The application provides the seated user P with a game that runs based on the signals (pressure values) transmitted from the seat S. Here, the seat application is a game program that utilizes the pressure sensors PS1 to PS6.

[0157] The seat application in this embodiment is configured to provide a 100-meter sprint game to the seated user P. Specifically, the smartphone SP executes the seat application, a game program that provides the seated user P with a 100-meter sprint game. The 100-meter sprint game utilizes the pressure sensors PS1 to PS3. More specifically, it causes a character displayed on the DSP to run, and the game utilizes the pressure value transmitted from the seat S during execution.

[0158] Specifically, when the smartphone SP runs a 100-meter sprint game, it acquires pressure values P3R and P3L from the left and right pressure sensors PS3 of the seat S. It then determines the normal pressure P3n (average pressure) of the seated person P sitting on the seat at that time and a threshold value P3th for detecting a peak in the pressure value, and calculates a normal pace period TSn, which is the average time period during which the seated person P moves his legs.

[0159] More specifically, when the seated person P alternately lifts his legs, for example, the pressure values P3R and P3L are as follows: Figure 3The fluctuation shown in the figure shows a sharp drop in pressure, indicating that the seated person P has raised their legs. At this point, the pressure in the area detected by pressure sensor PS3 decreases accordingly. In fact, the pressure value, which remains around 140 without dropping, represents the average normal pressure P3n when the legs are not raised. For example, to calculate normal pressure P3n, the difference between the previous and current values of pressure values P3R and P3L (current value P3(n) minus previous value P3(n-1)) can be calculated, provided that the absolute value is below a specified value (i.e., a sufficiently small value), and the current values are summed and averaged.

[0160] The threshold value P3th is a threshold value for determining when the leg is lifted; for example, Figure 3 In the case of a pressure drop, a value generally ranging from 100 to 120 may be used. Therefore, the threshold value P3th may be a value obtained by multiplying the normal pressure P3n by a prescribed value. For example, the threshold value P3th may be a value obtained by multiplying the normal pressure P3n by a predetermined value generally ranging from 0.6 to 0.9.

[0161] The normal pace period TSn is an average value of the pace period TS which is the time interval between the peak values of the pressure values P3R, P3L.

[0162] Under the condition that each pressure value P3R, P3L is less than the threshold value P3th, when the difference between the previous value and the current value changes from a negative value to a positive value, it can be judged that the peak value of the pressure values P3R, P3L is detected (that is, the pressure value has crossed the threshold from top to bottom), and the previous value P3(n-1) detected at this time is taken as the peak value Pm.

[0163] When the smartphone SP detects the peak values of the pressure values P3R and P3L that vary due to the movement of the seated person P, it calculates the peak value Pm and, based on the peak value Pm and the normal pressure P3n, calculates the leg-lifting intensity F(FR, RL) as a measure of the leg-lifting movement. The leg-lifting intensity F can be represented by the amplitude of the peak value, that is, the value obtained by subtracting the peak value Pm from the normal pressure P3n. In this embodiment, the obtained value is normalized by the normal pressure P3n to eliminate variations caused by the body size of the seated person P. For example, the leg-lifting intensity F can be given as follows:

[0164] F=(P3n-Pm) / P3n

[0165] In a 100-meter sprint, the smartphone SP calculates the leg-lifting force F and causes the game character on the display DSP to run toward the finish line. This paper determines the running distance of the game character based on the magnitude of the leg-lifting force F. For example, the smartphone SP moves the game character a corresponding distance toward the finish line based on F[m].

[0166] When the 100-meter sprint game ends, the smartphone SP obtains a reach time (the time required to reach the 100-meter race goal). In this embodiment, the reach time is used as an example of the game execution result. Here, when the 100-meter sprint game begins, the measurement time is started, and the leg lift intensity F is multiplied by the calculated number of leg lift intensity F. If the product is greater than or equal to 100, the measurement time is stopped.

[0167] After the 100-meter game ends, the smartphone SP associates the currently acquired arrival time with the user identification information of the seated person P. The game's execution result is then available to the smartphone SP as the execution result of the game played by the seated person P. The user identification information can be stored in the smartphone SP, for example, by registering their ID on a registration page before the 100-meter game begins. If multiple users share a single smartphone SP, each user registers their own ID and selects their ID before starting the 100-meter game. The execution results corresponding to each user are then available.

[0168] After the 100-meter sprint, the smartphone SP displays the arrival time of the seated person P on the display screen DSP. If the smartphone SP is able to communicate with the server SV at the end of the 100-meter sprint, the smartphone SP transmits the currently acquired arrival time along with the user identification information of the seated person P to the server SV.

[0169] The server SV has a function of integrating the arrival times obtained from the smartphone SP and generating integrated data. More specifically, Figure 4 As shown, each time the server SV obtains the arrival time and user identification information (e.g., "00001") from the smartphone SP used by the seated person P, the server SV updates the total arrival time (the sum of each game) and the number of acquisitions corresponding to the user identification information. More specifically, when the server SV obtains the arrival time and user identification information, it adds the current arrival time to the sum of the previous arrival times corresponding to the user identification information and stores this sum as the total arrival time. In other words, the server SV accumulates the arrival time corresponding to the seated person P as the total arrival time associated with the user identification information of the seated person P (personal statistics result). When the server SV obtains the arrival time and user identification information, it increases the number of acquisitions of the arrival time corresponding to the user identification information by 1.

[0170] Likewise, whenever the server SV acquires the arrival time and user identification information (e.g., "00002") from another smartphone SP used by another person PA, the total arrival time and acquisition count corresponding to the user identification information are reset. Thus, the server SV acquires and integrates the arrival time and user identification information corresponding to the user acquired from the smartphones SP used by various users, and generates a table such as Figure 4 The integrated data (data set) shown in the table.

[0171] The server SV has the function of calculating a baseline value for arrival times based on the integrated data. More specifically, the server SV calculates the average value of the arrival times accumulated in the integrated data as the baseline value. For example, if various users (elderly, male, female, child, and physically disabled) use the chair experience device SM nationwide, the server SV calculates the national average of the target number of times in a 100-meter sprint game. More specifically, the server SV calculates the average arrival time for all users by dividing the total of all arrival times in the integrated data by the total number of arrival times.

[0172] The server SV has the function of calculating a personal benchmark value for the arrival time of the user corresponding to the user identification information based on the personal statistics results. More specifically, for example, when calculating the personal benchmark value for seated person P, the server SV divides the total arrival time corresponding to the user identification information (e.g., "00001") by the number of acquisitions corresponding to the user identification information (e.g., "00001") to calculate the average arrival time of seated person P as the personal benchmark value.

[0173] The server SV has a function of assigning a difficulty level to a 100-meter sprint game based on a personal benchmark value and a benchmark value. More specifically, the server SV assigns a difficulty level to the 100-meter sprint game by setting a control amount for a control object in the 100-meter sprint game based on the personal benchmark value and the benchmark value.

[0174] In this embodiment, based on the individual baseline value and the baseline value setting, the server SV sets a correction coefficient to be multiplied by the leg-lifting intensity F. This correction coefficient is used to determine the control amount of the control object. More specifically, when the individual baseline value is greater than the baseline value (average baseline value), that is, when the seated user P's running speed is slower than the average running speed of all users, the correction coefficient is adjusted to a value greater than the initial value, thereby increasing the distance traveled per step of the seated user P. When the individual baseline value is less than the baseline value, that is, when the seated user P's running speed is faster than the average running speed of all users, the correction coefficient is adjusted to a value less than the initial value, thereby decreasing the distance traveled per step of the seated user P.

[0175] Specifically, when the individual benchmark value is lower than the benchmark value (average benchmark value), the difficulty level of the 100-meter sprint decreases. When the individual benchmark value is higher than the benchmark value, the difficulty level of the 100-meter sprint increases. After the server SV sets the correction coefficient corresponding to the seated person P, it transmits the correction coefficient to the smartphone SP used by the seated person P based on the user identification information of the seated person P. Similarly, when the server SV sets the correction coefficient for another person PA, it also transmits the correction coefficient to the smartphone SP of the other person PA.

[0176] When the smartphone SP receives the correction factor from the server SV, it uses the value obtained by multiplying the leg lift intensity F by the correction factor to measure its arrival time in the next 100-meter sprint. In other words, the smartphone SP can reflect the difficulty level set in the server SV in the 100-meter sprint game while executing the chair application.

[0177] The smartphone SP allows users to select between a single-player mode and a 100-meter sprint competition mode. The single-player mode allows users to race only with the character corresponding to the smartphone SP user on the smartphone SP's display DSP. In the single-player mode, for example, the smartphone SP's control unit can also drive another character to compete with the user's character.

[0178] Battle mode allows a character associated with a user using a specific smartphone SP (e.g., seated person P) to battle against a character associated with a user using another smartphone SP (e.g., another person PA). In battle mode, each user can exchange information via a server SV using their smartphone SP. Thus, on the display screen DSP of each smartphone SP, the game character corresponding to each user moves in accordance with the user's movements on the corresponding seat S.

[0179] Next, operations of the smartphone SP and the server SV (more specifically, control units in the smartphone SP and the server SV) will be described in detail.

[0180] When the seated person P starts to execute the seat application, the smartphone SP starts (START) execution Figure 5 In this process, the smartphone SP first checks whether it is in a state where it can communicate with the ECU 100 of the seat S ( S11 ).

[0181] In step S11, if it is determined that it is not in a state where communication is possible (No), the smartphone SP ends this process. If it is determined that it is in a state where communication is possible (Yes), the smartphone SP displays the start page of the 100-meter sprint game on the display DSP (see Figure 8 )(S12).

[0182] After step S12, the smartphone SP determines whether the user has selected the single-player mode (S13). If the single-player mode is selected (Yes) in step S13, the smartphone SP starts the 100-meter sprint game in the single-player mode (S14).

[0183] After step S14, specifically during the 100-meter sprint race, the smartphone SP calculates leg-lifting intensity F (S15) based on the pressure value transmitted from the seat S. After step S15, the smartphone SP determines the movement amount of the character based on the leg-lifting intensity F (S16).

[0184] After step S16, specifically, after the 100-meter sprint game ends, the smartphone SP obtains the time of reaching the finish line and displays the arrival time on the display screen DSP (S17). After step S17, the smartphone SP determines whether it is in a state capable of communicating with the server SV (S18).

[0185] If the smartphone SP determines that it is in a communication-capable state (Yes) in step S18, it transmits the currently acquired arrival time and user identification information to the server SV (S19), and the process returns to step S12. If the smartphone SP determines that it is not in a communication-capable state (No) in step S18, it returns to step S12 without executing step S19.

[0186] In step S13, if the single-player mode is not selected (No), the smartphone SP determines whether the user has selected the battle mode (S21). If the battle mode is selected (Yes) in step S21, the smartphone SP executes the battle process (S22). The game process will be described later.

[0187] After step S22, or if the result of step S13 is negative, the smartphone SP determines whether the user has selected to terminate (S23). If the user has selected to terminate (Yes) in step S23, the smartphone SP terminates the current process. If the user has not selected to terminate (No) in step S23, the smartphone SP returns to step S12.

[0188] like Figure 6 As shown, during the battle, the smartphone SP first determines whether it is in a state where it can communicate with the server SV (S31). If it is determined in step S31 that it is in a state where it cannot communicate with the server SV (No), the smartphone SP ends the battle process.

[0189] If communication is determined to be possible (Yes) in step S31, the smartphone SP requests and obtains the correction coefficient from the server SV (S32). Upon request, the smartphone SP transmits its user identification information. Following step S32, the smartphone SP queries the server SV to determine whether a game opponent exists (S33). More specifically, for example, in step 33, the smartphone SP transmits a signal to the server SV indicating that the game mode has been selected, and then determines whether an opponent exists based on the information returned from the server SV. Here, "information returned from the server SV" refers to a signal indicating that the other smartphone SP has selected the game mode.

[0190] If it is determined in step S33 that there is a game opponent (Yes), the smartphone SP starts the 100-meter sprint game in the battle mode (S34). After step S34, specifically, during the 100-meter sprint game, the smartphone SP calculates the leg-lifting intensity F based on the pressure value transmitted from the seat S (S35).

[0191] After step S35, the smartphone SP determines the character's movement amount based on the leg-lifting intensity F and the correction coefficient (S36). Specifically, after step 36, after the 100-meter sprint race ends, the smartphone SP obtains the target times of the seated user's own character and the other person's character after the race on the display DSP, compares the target times, and displays the race results on the display DSP (S37), ending the race process.

[0192] If the determination in step S33 is that there is no opponent (No), the smartphone SP determines whether a predetermined time period has elapsed (S38). If the determination in step S38 is that the predetermined time period has not elapsed (No), the smartphone SP returns to step S33 and waits until a competitor accesses the server SV. If the predetermined time period has elapsed (Yes) in step S33, the smartphone SP terminates this process.

[0193] Server SV executes at any time Figure 7 The processing shown.

[0194] like Figure 7 As shown, the server SV determines whether it is in a state where it can communicate with the smartphone SP (S51). If it is determined in step S51 that it is in a state where it can communicate (No), the server SV ends this process.

[0195] If it is determined in step S51 that the communication is possible (Yes), the server SV determines whether the smartphone SP has requested a correction coefficient (S52). If it is determined in step S52 that a request has been made (Yes), the server SV calculates the average of the total arrival times corresponding to the user identification information sent by the smartphone SP as the personal reference value (S53).

[0196] After step S53, the server SV calculates the average value of the arrival time as a reference value based on all the total arrival times and acquisition times in the accumulated integrated data (S54). After step S54, the server SV calculates a correction coefficient based on the personal reference value and the reference value (S55).

[0197] After step S55, the server SV sends the correction coefficient to the smartphone SP (S56), and the process ends. If it is determined in step S52 that there is no request for the correction coefficient (no), the server SV determines whether it has received the arrival time and user identification information from the smartphone SP, that is, whether the arrival time and user identification information have been sent from the smartphone SP (S57).

[0198] If it is determined in step S57 that the arrival time has been acquired (Yes), the arrival time is accumulated in the personal data area corresponding to the user identification information (the personal data area under the user identification information name) (S58). More specifically, for example, if the server SV acquires the user identification information "00001", the currently acquired arrival time is added to the total arrival time corresponding to the user identification information "00001" and the acquisition count is updated.

[0199] After step S58, or when the determination in step S57 is NO, the server SV ends the present process.

[0200] Hereinafter, an example of a specific operation of the seat system 1 will be described.

[0201] In such Figure 1 The hardware (S, SV, SP) constituting the seat system 1 shown is in a communicative state. When the seated person P operates the smartphone SP to start the seat application, the following operations are executed in sequence: Figure 5 The processing step S11 shown is: YES → The processing of step 12. Thus, the display DSP displays Figure 8 The start page shown.

[0202] On the start screen, there is a button B1 for starting the single-player game mode, a button B2 for starting the 100-meter sprint competition game mode, and a button B3 for ending the seat application. When the seated person P touches button B1, a YES determination is made in step S13, and the 100-meter sprint game is executed in the single-player mode (S14-S17).

[0203] When the 100-meter sprint race ends, the smartphone SP sends the arrival time and user identification information as the result of this race to the server SV (S18: YES). → S19).

[0204] like Figure 7 As shown, when the arrival time and user identification information are transmitted from the smartphone SP to the server SV, the server SV determines YES in step S57 and accumulates the arrival time in the personal data area corresponding to the user identification information (S58). This operation occurs between the smartphones SP and the server SV of various users, so that a large amount of integrated data is generated in the server SV (see Figure 4 ).

[0205] When the seated person P is Figure 8 When the battle mode button B2 is selected on the start page shown in the figure, Figure 5 As shown in (S22), the smartphone SP judges in step S21 as YES and executes the battle process. Figure 1 The other person PA shown selects the battle game mode of the 100-meter sprint game in his smartphone SP. The smartphone SP of the seated person P obtains the correction coefficient corresponding to the seated person P from the server SV, and then Figure 6 In the battle process shown, the 100-meter sprint game starts in the battle mode (S32-S34).

[0206] Meanwhile, the smartphone SP of the other person PA operates in a similar manner, acquiring a correction coefficient corresponding to the other person PA from the server SV during the game, and then starting a 100-meter sprint race in competition mode. In the 100-meter sprint game executed by each smartphone SP, the leg-lifting strength F of the seated person P and the other person PA is corrected using the correction coefficients, respectively. As a result, the character corresponding to the seated person P and the character corresponding to the other person PA on the display screen DSP each races at a speed close to the reference value.

[0207] Therefore, even when there is a large difference in athletic ability between the seated person P and the other person PA, for example, when one is an adult and the other is a child, in the battle mode of the 100-meter sprint game, each character can compete with a slight advantage, thereby providing an enjoyable experience for both.

[0208] As described above, the seat system 1 of this embodiment can achieve the following advantageous effects.

[0209] Based on the reference value calculated from the result of the game played on the smartphone SP of the other person PA and the result of the game played by the seated person P, the difficulty level of the game is set, and the difficulty level is reflected in the game played on the smartphone SP of the seated person P, thereby allowing two people to compete on the same level in the 100-meter sprint.

[0210] The control amount (specifically, the correction coefficient that affects the control amount) is set according to the difficulty level of the game. For example, compared with the method of using the arrival time after the end of the game as a benchmark value and reflecting the difficulty level by increasing or decreasing the benchmark value, this method allows the characters corresponding to the seated person P and another person PA to compete on the same page.

[0211] The arrival time corresponding to each user is accumulated as a personal statistical result, so that large fluctuations in the difficulty level caused by changes in arrival time can be suppressed.

[0212] Since the average value of the total arrival times accumulated in the integrated data is used as the reference value, it is easier to calculate the reference value than a scheme in which the median value of all arrival times accumulated in the integrated data is used as the reference value.

[0213] The first embodiment described above can be implemented in the following modified manners under appropriate circumstances. In the following description, parts having structures similar to those of the above embodiment are identified by the same reference numerals, and their descriptions will be omitted.

[0214] In the above embodiment, the difficulty level (correction coefficient) of the game is set on the server SV, but the difficulty level of the game can also be set by the smartphone SP. In this case, the smartphone SP can execute Figure 9 The battle process shown, and the server SV can execute Figure 10 The processing shown.

[0215] Figure 9 The processing shown is replaced by new steps S71 and S72 Figure 6 The rest of the process in step S32 is the same as Figure 6 same. Figure 10 The process shown is replaced by new steps S81 and S82 Figure 7Steps S52, S55, and S56 in the above example are the same as those in the above example. Figure 7 The same.

[0216] exist Figure 9 In the illustrated battle process, if the smartphone SP determines YES in step S31, it requests the server SV to obtain the personal reference value and the reference value (S71). That is, the smartphone SP does not request the correction coefficient from the server SV as in the above embodiment, but instead requests the personal reference value and the reference value.

[0217] After step S71, the smartphone SP calculates a correction coefficient based on the personal reference value and the reference value (S72) and sets the difficulty level of the game. After step S72, the smartphone SP executes the process of step S33.

[0218] exist Figure 10 In the illustrated process, if the server SV determines in step S51 that the request is yes (YES), the server SV determines whether to request the smartphone SP's personal reference value and reference value (S81). In step S81, if the server SV determines that the request is yes (Yes), the process proceeds to step S53. If the server SV determines that the request is not yes (No), the process proceeds to step S57.

[0219] In steps S53 and S54, the server SV calculates the personal baseline value and the baseline value, then transmits the calculated personal baseline value and the baseline value to the smartphone SP (S82), terminating the current process. This configuration allows the difficulty level to be reflected in the 100-meter sprint game, achieving similar beneficial effects as those of the above-described embodiment. However, in the above-described embodiment, since the server SV has already calculated the correction coefficient, the smartphone SP does not need to recalculate the correction coefficient. This reduces the number of operations required by the smartphone SP, allowing for smoother execution of the 100-meter sprint competition mode.

[0220] In the above embodiment, although the personal statistics are accumulated in the server SV, the personal statistics can also be accumulated in the smartphone SP of each user. In this case, the smartphone SP can execute Figure 11 and Figure 12 The processing shown, and the server SV can perform Figure 13 The processing shown.

[0221] Figure 11 The process shown is replaced by new steps S91 to S93 Figure 5 The processing steps S19 and S22 in the above table are the same as those in the other parts. Figure 5 same. Figure 12 The processing shown in is replaced by new steps S110 and S111. Figure 9Step S71 in the process; the rest of the process is the same as Figure 9 same, Figure 13 The processing shown includes Figure 7 In addition to steps S51 and S54 in the illustrated process, new steps S121 to S124 are included.

[0222] Figure 11 In the process shown, in step S17, the smartphone SP displays the arrival time on the display screen DSP, then adds the currently acquired arrival time to the sum of the previous arrival times and saves the arrival time of the smartphone SP (S91). After step S91, the smartphone SP proceeds to step S18.

[0223] If the answer in step S18 is yes (YES), the smartphone SP transmits the currently acquired arrival time to the server SV (S92), and the process returns to step S12. In step S92, the smartphone SP does not transmit the arrival time along with the user identification information, as in the previous embodiment. Instead, it transmits only the arrival time to the server SV. If the answer in step S21 is yes (YES), the smartphone SP performs a different matchmaking process from the previous embodiment (S93).

[0224] exist Figure 12 In the illustrated battle process, if the smartphone SP determines YES in step S31, it requests the server SV to obtain a benchmark value (S110). After step S110, the smartphone SP calculates the average arrival time as the personal benchmark value based on the total arrival time and the number of acquisitions accumulated by the smartphone SP (S111). After step S111, the smartphone SP proceeds to step S72.

[0225] exist Figure 13 In the process shown, if the server SV determines in step S51 that the result is YES, the server SV determines whether there is a request for a reference value from the smartphone SP (S121). If it is determined in step S121 that there is a request (Yes), the server SV proceeds to step S54 and calculates the reference value.

[0226] After step S54, the server SV sends the reference value to the smartphone SP (S122) and ends this process. If it is determined in step S121 that there is no request (No), the server SV determines whether the arrival time has been obtained from the smartphone SP (S123).

[0227] If it is determined in step 123 that the arrival time has been acquired (Yes), the server SV accumulates the arrival time by adding the currently acquired arrival time to the total value of the previous arrival time (S124). After step S124 or if it is determined in step S123 that it is not (No), the server SV ends this process.

[0228] According to this modification, the difficulty level can be reflected in the 100-meter sprint game, thereby achieving similar advantageous effects as those of the above embodiment. However, as in the above embodiment, when personal statistics are accumulated in the server SV, storage space in the smartphone SP can be saved.

[0229] In the above embodiment, the control amount of the control object is determined based on the leg lift intensity F. However, the control amount can also be determined based on the number of steps. The number of steps can be determined by the number of peak Pm calculated during a 100-meter race. In addition, the difficulty level of the game can be changed based on the number of steps multiplied by the stride length as a reference value.

[0230] In the above embodiment, the pressure sensors PS1 to PS3 are exemplified as sensors, but the sensors may be optical sensors, etc. In this case, the number of steps, etc. may be counted based on whether light is detected by the optical sensors.

[0231] Although the 100-meter sprint game is used as an example of a game in the above embodiment, the game can be any sport as long as it follows specific rules. For example, the game can be a sport other than the 100-meter sprint, or it can be exercise such as gymnastics.

[0232] Alternatively, the game can be a meditation game, for example. A meditation game requires the user P to sit in a meditation position on a seat S. This game encourages the user P to maintain a stable posture by ensuring that pressure on the left and right sides of the seat cushion S1 is approximately equal, and pressure on the front and back of the seat cushion S1 is approximately equal. More specifically, the meditation game involves moving a cursor on the smartphone SP screen in accordance with the user P's body movements (fluctuations in pressure values) so that the cursor coincides with a target image. In this case, when the meditation game's execution results are better than a baseline, that is, when the user maintains a good meditation posture, the on-screen cursor's movement speed can be increased by increasing the amount of cursor movement relative to a specified pressure fluctuation, thereby increasing the game's difficulty level. When the meditation game's execution results are worse than the baseline, the on-screen cursor's movement speed can be reduced by decreasing the amount of cursor movement relative to a specified pressure fluctuation, thereby decreasing the game's difficulty level.

[0233] In the above embodiment, a vehicle seat in an automobile is used as an example of the seat S, but the seat may be a seat used in various vehicles such as ships, airplanes, etc. The seat is not limited to a vehicle seat, and for example, the seat may be a chair without legs (as used in Japanese-style rooms).

[0234] While the above embodiment uses a smartphone SP as an example of a terminal device, the terminal device may be a mobile terminal device other than a smartphone SP, such as a tablet computer. Alternatively, the terminal device may be a fixed terminal device located on a seat S, which may be integral to the seat. The terminal device may also comprise a car navigation system. In this case, multiple users seated in multiple seats can share a single terminal device.

[0235] [Second embodiment]

[0236] Hereinafter, a second embodiment will be described with reference to the drawings.

[0237] like Figure 14 As shown, the seat system 1 of this embodiment includes a seat S and a seat-type experience device SM.

[0238] The seat S includes a seat body S0 and pressure sensors 21-26. In this example, the seat body S0 is a vehicle seat installed in a vehicle such as an automobile, and includes a seat cushion S1, a seat back S2, and a headrest S3. The seat cushion S1 and the seat back S2 include a plurality of pressure sensors 21-26 located under the cover 10. The pressure sensors 21-26 are sensors configured to detect the movement of a person seated in the seat body S0.

[0239] Pressure sensors 21-26 are positioned to detect the state of the seat surface facing a person seated in seat body S0 and to acquire pressure values from the person seated in seat body S0. The ECU 100 (electronic control unit) controls the operation of seat body S0 (e.g., the electric reclining mechanism, heater, and other motors (not shown)). Each of pressure sensors 21-26 is connected to the ECU and can acquire measurement values from these sensors.

[0240] Pressure sensors 21-26 are arranged in pairs, one on the left and one on the right, symmetrically relative to the transverse direction of the vehicle seat S. In the following description and figures, the left pressure sensors 21-26 are suffixed with the letter "L", and the right pressure sensors 21-26 are suffixed with the letter "R" to distinguish them.

[0241] The pressure sensors 21 to 23 are provided on the seat cushion S1 .

[0242] The pressure sensor 21 is arranged at a position corresponding to the lowest part of the ischium of the seated person, which is the position that bears the maximum weight of the seated person.

[0243] The pressure sensor 22 is located slightly in front of the pressure sensor 21 .

[0244] The pressure sensor 21 and the pressure sensor 22 are both used to measure the pressure from the seated person's buttocks. Of course, only any one pair of them can be provided.

[0245] The pressure sensor 23 is located in front of the pressure sensor 21 and the pressure sensor 22, and the two are relatively far apart. The pressure sensor 23 is located below the thigh of the seated person and can measure the pressure value from the thigh of the seated person.

[0246] Pressure sensors 24 to 26 are mounted on the seat back S2. The pressure sensor 24 is located at a position corresponding to the back of the occupant's waist.

[0247] The pressure sensor 25 is located slightly above the pressure sensor 24 .

[0248] The pressure sensor 24 and the pressure sensor 25 are both used to measure the pressure from the waist of the seated person. Of course, only any one pair of them can be provided.

[0249] The pressure sensor 26 is located above the pressure sensor 24 and the pressure sensor 25 and is relatively far away from the pressure sensor 24 and the pressure sensor 25. The pressure sensor 26 is provided at a position corresponding to the shoulder blade of the seated person and can measure the pressure value from the shoulder of the seated person.

[0250] In this embodiment, the seat system 1 provides an exercise game that utilizes the various sensors 21-26. In this embodiment, the sensors 21-26 are examples of sensors that acquire measurement values for detecting the movements of a user seated in the seat body S0. The exercise game allows the user seated in the seat body S0 to perform exercises based on the character's gestures or messages displayed on the display DSP of the smartphone SP.

[0251] The seat body S0 includes a holder 4 for holding a smartphone SP. Formed from bent wire, the holder 4 has one end secured to the seat back S2 and the other end having a securing portion 4A for holding the smartphone SP. By securing the smartphone SP to the securing portion 4A, the user can view the smartphone SP's display without having to hold it. This allows the user to use their entire body to perform the movements indicated in the sports game while viewing the display DSP.

[0252] The seat experience device SM includes an ECU 100 , and a smartphone SP as an example of a terminal device.

[0253] The ECU 100 is connected to a short-range communication device 3A capable of near-field wireless communication, such as Bluetooth (registered trademark), Wi-Fi (registered trademark), etc. The ECU 100 is connected to the pressure sensors 21 to 26 .

[0254] The ECU 100 and the smartphone SP each include a CPU, ROM, RAM, and rewritable nonvolatile memory (not shown), and execute pre-set programs. The smartphone SP also includes a display DSP. The smartphone SP runs the program and functions as a means of executing the sports game.

[0255] More specifically, the smartphone SP acquires measurement values from each of the sensors 21-26 via the near-field communication device 3A and the ECU 100, and executes the exercise game based on the acquired measurement values. The smartphone SP has a function for guiding the user to adopt a prescribed posture during the exercise game. The smartphone SP also has a function for changing the prescribed posture at every prescribed time interval.

[0256] In this embodiment, in order to guide the seated person to make Figure 19 The baseline posture shown and Figure 20 The upper and lower body are twisted so that the right knee touches the left elbow, and each posture is repeated four times, eight times in total. The smartphone SP plays music at an appropriate tempo and changes the posture image every time a prescribed period of time passes. Figure 19 The baseline posture shown and Figure 22 The posture shown, in which the upper and lower body are twisted so that the left knee touches the right elbow, is repeated four times for each posture, eight times in total, and the smartphone SP changes the posture image every time a prescribed time period passes. In the following description, Figure 20 The posture shown is also known as the right foot twist and lift posture. Figure 22 The posture shown is also known as the left foot twist and lift posture.

[0257] like Figure 19 As shown, the smartphone SP has the function of displaying multiple first images Gf1-Gf6 on its display screen DSP. These images are located at positions corresponding to the multiple pressure sensors 21-26 on the seat body S0. More specifically, the smartphone SP displays each of the first images Gf1-Gf6 so that they overlap with the image of the seat SG1 displayed on the display screen DSP. More specifically, the first images Gf1-Gf6 are provided in pairs, similar to the pressure sensors 21-26, with each pair located symmetrically on the left and right sides relative to the left-right center of the vehicle seat S.

[0258] The smartphone SP has a function of displaying a first image corresponding to a target sensor, wherein the first image is more prominent than other first images, wherein when the seated person makes a predetermined posture on the seat body S0, the target sensor corresponds to the target first image and reacts more strongly than non-target sensors that are not targets. Figure 19 The reference posture shown in FIG can make it easier for the seated person to twist so that the seated person's shoulders are away from the seat body S0. Figure 19 In the reference posture shown, the left and right pressure sensors 26, which receive pressure from the seated user's shoulders, are non-target sensors, while the remaining pressure sensors 21-25 are target sensors. When the smartphone SP issues a command for the reference posture, the remaining first images Gf1-Gf5 corresponding to the target sensors are displayed more prominently than the left and right first images Gf6 corresponding to the non-target sensors.

[0259] More specifically, the smartphone SP displays the first image corresponding to the target sensor in a different color than the other first images, so that the first image corresponding to the target sensor is displayed more prominently than the other first images. Specifically, if the seat image SG1 is gray, the smartphone SP displays the left and right first images Gf6 corresponding to the non-target sensor in a less prominent gray (e.g., gray) and displays the remaining first images Gf1-Gf6 corresponding to the target sensor in a prominent gray (e.g., a color with a higher saturation than gray).

[0260] If done correctly Figure 20 In the upward twisted posture of the right foot shown in the figure, the right pressure sensor 23R that receives pressure from the right thigh of the seated person and the left and right pressure sensors 26 that receive pressure from the shoulders of the seated person will not be subjected to pressure. The first maximum pressure is applied to the right pressure sensor 25R, which receives pressure from the right side of the seated person's back. The second pressure is less than the first pressure, and the second pressure is applied to other pressure sensors 21, 22, 23L, 24, and 25L.

[0261] Therefore, when teaching the right foot twist and lift posture, if the right pressure sensor 23R and the left and right pressure sensors 26 are non-target sensors, the remaining pressure sensors are target sensors. When teaching the right foot twist and lift posture, if the pressure sensors 21, 22, 23L, 24, and 25L receiving the second pressure are non-target sensors, the right pressure sensor 25R receiving the first pressure is the target sensor.

[0262] Therefore, when the smartphone SP is guiding the user to perform the right foot twist upward posture, the first image Gf3 on the right side is more prominent than the first images Gf6 on the left and right sides, while the remaining first images Gf1 to Gf5 are more prominent. Furthermore, when the smartphone SP is guiding the user to perform the right foot twist upward posture, the first image Gf5 on the right side, corresponding to the first pressure, is more prominent than the first images Gf1 to Gf5 corresponding to the second pressure.

[0263] More specifically, the smartphone SP displays the right first image Gf5 corresponding to the first pressure in a different color than the first images Gf1-Gf5 corresponding to the second pressure. Furthermore, the image Gf5 is larger than the first images Gf1-Gf5, making it stand out more than the right first images Gf1-Gf5. Specifically, the smartphone SP displays the first images Gf1-Gf5 in a low-saturation yellow color, while the first image Gf5 on the right side is displayed in a high-saturation yellow color.

[0264] More specifically, for example, the smartphone SP displays first images corresponding to the pressure sensor, where the pressure value obtained from the pressure sensor is lower than a first specified value, so that these images have a first area of a specified size and a gray color. The smartphone SP displays first images corresponding to the pressure sensor, where the pressure value obtained from the pressure sensor is greater than or equal to the first specified value and less than a second specified value, so that these images have a first area of a specified size and a low-saturation yellow color. Furthermore, the smartphone SP displays first images corresponding to the pressure sensor, where the pressure value obtained from the pressure sensor is greater than a second specified value, so that these images have a second area larger than the first area and a high-saturation yellow color.

[0265] The smartphone SP has the function of displaying multiple second images Gs1-Gs6 on the display screen DSP, corresponding to the multiple pressure sensors 21-26 on the seat body S0. More specifically, the smartphone SP displays each second image Gs1-Gs6 so that it overlaps with the seat image SG2 displayed on the display screen DSP. Specifically, the second images Gs1-Gs6 are provided in pairs, similar to the actual pressure sensors 21-26, each located on the left and right sides, symmetrically relative to the left-right center of the vehicle seat S. The smartphone SP displays the multiple first images Gf1-Gf6 and the seat image SG1, and the multiple second images Gs1-Gs6 and the seat image SG2 side by side on the display screen GSP.

[0266] The smartphone SP has a function of displaying second images corresponding to sensors that react more strongly than other sensors, so that when the seated person makes a prescribed posture on the seat body S0 based on the measurement values obtained from the respective pressure sensors, these images highlight the sensors 21 to 26 more than the other second images. Specifically, for example, Figure 20 As shown in the figure, when the seated person performs a twisted-up posture with their right foot, and a specific sensor reacts more strongly than the other sensors, the smartphone SP displays the second image in such a way that the second images Gs1 to Gs5 corresponding to the specific sensors (left and right pressure sensors 21 to 25) stand out compared to the second image Gs6 corresponding to the other sensors (left and right pressure sensors 26). More specifically, similar to the case of the first images Gf1 to Gf6, the smartphone SP makes the image stand out by changing its color.

[0267] When the response of the right pressure sensor 25R is Figure 20 When the other sensors (left pressure sensor 25L and left and right pressure sensors 21, 22, 23L, and 24) among the specific sensors shown (sensors that have reacted) are more intense, the smartphone SP displays the second image Gs5 corresponding to the right pressure sensor 25R on the right side in a manner that makes it stand out more than the second images Gs1 to Gs5 corresponding to the other sensors. Specifically, the smartphone SP displays the second image in such a manner that the second image Gs5 corresponding to the sensor that reacted more strongly than the other sensors has a larger size and a different color than the other second images Gs1 to Gs5, thereby making it stand out more than the other second images Gs1 to Gs5.

[0268] More specifically, for example, the smartphone SP displays a second image corresponding to a specific pressure sensor, wherein the pressure value obtained from the specific pressure sensor is lower than a first prescribed value, in such a manner that it has a prescribed first area size and a gray color. The smartphone SP displays a second image corresponding to a specific pressure sensor, wherein the pressure value obtained from the specific pressure sensor is greater than or equal to the first prescribed value and less than a second prescribed value, in such a manner that it has a prescribed first area size and a low-saturation yellow color. Furthermore, the smartphone SP displays a second image corresponding to a specific pressure sensor, wherein the pressure value obtained from the specific pressure sensor is less than or equal to the second prescribed value, in such a manner that they have a second area size larger than the first area and a high-saturation yellow color.

[0269] The smartphone SP calculates an evaluation value indicating the degree of compatibility between the seated user's posture and the prescribed posture, using the pressure values obtained from the designated pressure sensors 23-26 among all the pressure sensors 21-26. Specifically, during a prescribed period including the posture indication time, if the pressure value obtained from the target pressure sensor is greater than or equal to a first threshold value α, the smartphone SP calculates an evaluation value α that is greater than the value calculated when the pressure value is less than the first threshold value. If the pressure value obtained from the non-target sensor is less than or equal to a second threshold value β during the prescribed period including the posture indication time, the smartphone SP calculates an evaluation value β that is greater than the value calculated when the pressure value is greater than the second threshold value.

[0270] More specifically, when the smartphone SP transmits a command for the reference posture, it determines whether the pressure values of the left and right pressure sensors 26 corresponding to the seated user's shoulders are respectively less than or equal to a second threshold value β, and whether the pressure values of the left and right pressure sensors 24 corresponding to the seated user's waist region are respectively greater than or equal to a first threshold value α within a predetermined time period. Here, the second threshold value β is set separately for the left and right pressure sensors 26. Specifically, the left pressure sensor 26L has a specific second threshold value β of 61, while the right pressure sensor 26R has a specific second threshold value β of 62. Similarly, regarding the first threshold value α, the left pressure sensor 24L has a specific first threshold value β of 41, while the right pressure sensor 24R has a specific first threshold value β of 42. The settings of the first threshold value α and the second threshold value β will be described in detail later.

[0271] When the smartphone SP issues a command for the right foot twist upward posture, it determines whether the pressure value of the right pressure sensor 23R corresponding to the seated person's right thigh is equal to or lower than a second threshold value β, and whether the pressure value of the right pressure sensor 25R corresponding to the right side of the seated person's back is greater than or equal to a first threshold value α within a specified time period. When the smartphone SP issues a command for the left foot twist upward posture, it determines whether the pressure value of the left pressure sensor 23L corresponding to the seated person's left thigh is less than or equal to the second threshold value β, and whether the pressure value of the left pressure sensor 25L corresponding to the left side of the seated person's back is greater than or equal to the first threshold value α within a specified time period.

[0272] In this embodiment, the evaluation value is provided as a sports score, where a higher value indicates a higher evaluation value. Specifically, if the smartphone SP determines that the above conditions are not met, no points will be added to the sports score. If the smartphone SP determines that the above conditions are met, 1 point or 10 points will be added to the sports score.

[0273] More specifically, when the smartphone SP provides the baseline gesture, if the above conditions are met, 1 point is added to the sports score. When the smartphone SP provides the right foot twisting upward gesture or the left foot twisting upward gesture, if the above conditions are met, a point higher than the baseline gesture is added to the sports score, more specifically 10 points.

[0274] Next, the operation of the smartphone SP (more specifically, a control unit in the smartphone SP) will be described.

[0275] When the smartphone SP starts the sports game application played by the seated person, the Figure 15 In this process flow, the smartphone SP first checks whether it is in a state where it can communicate with the seat S ( S211 ).

[0276] In step S211, if it is determined that it is not in a state where communication is possible (No), the smartphone SP ends this process. In step S211, if it is determined that it is in a state where communication is possible (Yes), the smartphone SP displays the start page of the exercise game on the display screen DSP (see Figure 16 )(S212).

[0277] exist Figure 16 In the start page shown, a start button B4 for starting the exercise game and a button B5 for ending the exercise game are displayed.

[0278] After step S212, the smartphone SP determines whether the start button B4 has been selected (S213). In step S213, if the start button B4 has been selected (Yes), the smartphone SP determines whether a flag FL indicating whether the sitting posture recognition mode and the practice mode of the exercise game have been executed previously is 0 (S214).

[0279] The sitting posture recognition mode is used to evaluate the user's typical sitting posture, specifically, the left-right weight balance between the user's upper and lower body. In this mode, the smartphone SP obtains pressure values for each of the user's typical sitting postures and sets a first reference value based on these pressure values. This first reference value is used to determine a target pressure value for the reference posture used in the exercise game.

[0280] The practice mode allows the seated user to play an exercise game. In the practice mode, the smartphone SP obtains each pressure value when playing the exercise game and sets a second reference value based on the specific pressure value, which is used to determine the target pressure value for the twisting posture during the exercise game.

[0281] In step S214, if it is determined that F=0 is not true (No), that is, if the sitting posture recognition mode and the practice mode have been previously executed, the smartphone SP skips the sitting posture recognition mode and the practice mode (S215 to S220) and starts the practice game (S21). In step S214, if it is determined that F=0 is true (Yes), that is, if the sitting posture recognition mode and the practice mode have never been executed, the smartphone SP starts the sitting posture recognition mode (S215).

[0282] When the smartphone SP starts the sitting posture recognition mode, the following information is displayed on the display DSP: Figure 17 The page shown. Figure 17 The screen shown displays a message stating, "Please sit fully on the seat, with your legs, hips, waist, back, and shoulders against the seat." A countdown indicator indicates the remaining time to measure the occupant's weight distribution. In this embodiment, at the start of the sitting posture recognition mode, the number "16" is displayed as the countdown indicator, indicating that the number to be decremented is 16.

[0283] During the 16 countdowns, the smartphone SP acquires pressure values from the corresponding pressure sensors 21-26. More specifically, the smartphone SP does not acquire pressure values during the first eight countdowns, but instead acquires pressure values during the final eight countdowns. In other words, the smartphone SP does not acquire pressure values for a specified period of time after the start of the sitting posture recognition mode, and then acquires pressure values after the specified period of time has elapsed. By not acquiring pressure values for the specified period of time after the start of the sitting posture recognition mode, unstable pressure values that may occur when the occupant re-sits on the seat S can be eliminated, resulting in more accurate pressure values.

[0284] More specifically, the smartphone SP acquires pressure values from each of the pressure sensors 21 to 26 at a predetermined cycle, while counting down eight times. For example, if the smartphone SP acquires pressure values at a 20 Hz cycle, and one beat is one second, the number of pressure values acquired from one pressure sensor will be 161.

[0285] like Figure 15 As shown, the smartphone SP sets the average of the pressure values acquired from the respective pressure sensors 21 to 26 as the first reference value of each pressure sensor 21 to 26 (S216). In the following description, the first reference values of the right pressure sensors 21R to 26R are also referred to as "FR1, FR2, ..., FR6", and the first reference values of the left pressure sensors 21L to 26L are also referred to as "FL1, FL2, ..., FL6".

[0286] After step S216, the smartphone SP evaluates the occupant's posture based on the first reference values (S217) and displays the evaluation results on the display screen DSP (S218). Specifically, in step S217, the smartphone SP compares the first reference values FR1-FR3 corresponding to the right side of the occupant's lower body with the first reference values FL1-FL3 corresponding to the left side of the occupant's lower body, and evaluates the weight distribution of the lower body. The smartphone SP also compares the first reference values FR4-FR6 corresponding to the right side of the occupant's upper body with the first reference values FL4-FL6 corresponding to the left side of the occupant's upper body, and evaluates the weight distribution of the upper body.

[0287] More specifically, the smartphone SP estimates the posture of the seated person using the following equations (1) and (2).

[0288] K1≤(FR1+FR2+FR3) / (FL1+FL2+FL3)≤K2…(1)

[0289] K3≤(FR4+FR5+FR6) / (FL4+FL5+FL6)≤K4…(2)

[0290] Here, K1 is a value less than 1, such as 0.9. K2 is a value greater than 1, such as 1.1. K3 is a value less than 1, such as 0.95. K4 is a value greater than 1, such as 1.05.

[0291] When the ratio of the left and right pressure values of the lower body and the upper body satisfies the above equations (1) and (2), the smartphone SP displays a positive evaluation result on the display screen DSP. When the pressure value does not satisfy the above equations (1) and (2), a negative evaluation result is displayed on the display screen DSP.

[0292] More specifically, if Figure 18 As shown, for example, if the ratio of the pressure values of the lower body satisfies the above formula (1), the smartphone SP displays a message about the lower body on the display screen DSP, such as "left-right balance" or "very good." If the ratio of the pressure values of the upper body exceeds the upper limit K4 of the above formula (2), the smartphone SP displays a message about the upper body on the display screen DSP, such as "weight leaning to the right."

[0293] return Figure 15 After step S218, the smartphone SP executes the training mode (S219). When the smartphone SP starts the training mode, the following information is displayed on the display screen DSP: Figure 19 The page shown. Figure 19The page shown displays a message: "Lean your back against the chair, puff out your abdomen like you're doing abdominal breathing, twist and lift one leg to the side, and repeat this four times on each side at a steady rhythm." A countdown indicator is also displayed, indicating the remaining time to complete the exercise. In this embodiment, the number "16," indicating that the number to be decremented is 16, is displayed as a countdown indicator at the start of the exercise mode.

[0294] In addition to the above information, messages such as "First, twist your body so that your right knee is closer to your left elbow four times, and then twist your body so that your left knee is closer to your right elbow four times" may be displayed.

[0295] In the practice mode, the smartphone SP displays an image of a character on the display screen DSP, and the character performs a model posture for the seated person. Specifically, in order to instruct the seated person to perform the right foot upward twist posture 4 times, the smartphone SP alternately displays Figure 19 The sample poses shown in Figure 20 The right foot twisted upward posture shown in the figure is displayed 4 times as a model. In order to instruct the seated person to perform the left foot twisted upward posture 4 times, the smartphone SP alternately displays the above-mentioned reference posture and Figure 22 The left foot is twisted upwards, and a base position is displayed every four times. The smartphone SP switches these positions to the rhythm of the music, and the countdown number is reduced by 1 each time the position is switched.

[0296] In practice mode, the smartphone SP acquires pressure values from each pressure sensor 21-26 at a predetermined interval. Specifically, when the smartphone SP instructs the user to perform the right leg twist pose within eight beats, pressure values are not acquired for the first four beats of the eight beats, but rather for the final four beats of the countdown. When the smartphone instructs the user to perform the left leg twist pose within eight beats, pressure values are not acquired for the first four beats of the eight beats, but for the final four beats of the countdown. In other words, after the smartphone SP begins issuing instructions for the right or left leg twist pose, it does not acquire pressure values for a predetermined period of time, but instead acquires pressure values after the predetermined period has elapsed. This achieves similar beneficial effects as described above.

[0297] During the last four beats of the right foot twist upward posture, the smartphone SP sets the average of the pressure values obtained from each right pressure sensor 23R, 25R during a period close to odd beats (close to the countdown indicating 11 or 9 o'clock) as the target value for the right foot twist upward posture, and sets it as the second reference value. During the last four beats of the left foot twist upward posture, the smartphone SP sets the average of the pressure values obtained from each left pressure sensor 23L, 25L during a period close to odd beats (close to the countdown indicating 3 or 1 o'clock) as the target value for the left foot twist upward posture, and sets it as the second reference value. In the following description, the second reference values corresponding to the right pressure sensors 23R, 25R will also be referred to as "SR3, SR5", and the second reference values corresponding to the left pressure sensors 23L, 25L will also be referred to as "SL3, SL5".

[0298] return Figure 15 When the smartphone SP completes the practice mode of step S219, it sets the flag FL to 1 (S220) and starts the practice game (S221). In the practice game, the smartphone SP displays the same page as in the practice mode (see Figures 19 to 23 ) and allow the seated person to exercise.

[0299] During the exercise game, the smartphone SP calculates an exercise score based on the pressure values acquired from each of the pressure sensors 21-26 and the first and second reference values described above (S222). More specifically, if the smartphone SP provides the seated user with a posture instruction for a reference posture on an even-numbered beat of 16 beats, it acquires pressure values from the left and right pressure sensors 26 corresponding to the seated user's shoulders and the left and right pressure sensors 24 corresponding to the seated user's waist within a specified period, including the posture instruction time.

[0300] The smartphone SP determines the degree of alignment between the seated user's posture and the reference posture by comparing the minimum pressure value obtained from the shoulder pressure sensor 26 within a specified time period with the first reference values FR6 and FL6 for the shoulder, and by comparing the maximum pressure value obtained from the lumbar pressure sensor 24 within a specified time period with the first reference values FR4 and FL4 for the lumbar region. More specifically, the smartphone SP adds one point to the exercise score each time one of the four conditions in equations (3) to (6) below is met. Therefore, for example, if all four conditions in equations (3) to (6) below are met, the smartphone adds four points to the exercise score.

[0301] PR6≤FR6×K5…(3)

[0302] PL6≤FL6×K5…(4)

[0303] PR4≥FR4×K6…(5)

[0304] PL4≥FL4×K6…(6)

[0305] PR6: Minimum value of the pressure value obtained from the pressure sensor 26R corresponding to the right shoulder within a specified time period

[0306] PL6: Minimum value of the pressure value obtained from the pressure sensor 26L corresponding to the left shoulder within a specified time period

[0307] PR4: Maximum value of the pressure value obtained from the pressure sensor 24R corresponding to the right side of the waist within a specified time period

[0308] PL4: Maximum pressure value obtained from the pressure sensor 24L corresponding to the left side of the waist during a specified period of time

[0309] K5, K6: coefficients

[0310] Here, FR4×K6 and FL4×K6 correspond to the first threshold α, and FR6×K5 and FL6×K5 correspond to the second threshold β. K5 is a value less than 1, for example, 0.1. K6 is a value greater than 1, for example, 1.1.

[0311] The first reference values FR6, FL6, FR4, and FL4 are multiplied by coefficients K5 and K6 to form thresholds α and β, respectively. For example, thresholds α and β can serve as the first reference values for FR6, FL6, FR4, and FL4 themselves. However, by multiplying the first reference values by the coefficients, fluctuations in pressure values during a normal sitting posture can be accounted for, allowing for a clear determination of pressure intensity in the reference posture.

[0312] More specifically, for example, the first reference values FR6 and FL6 corresponding to the shoulders correspond to the pressure values corresponding to the shoulders of the seated occupant in a normal sitting position, where the entire body is pressed against the seat S. By multiplying the first reference values FR6 and FL6 by these pressure values, as described above, if the coefficient K5 is less than 1, it can be clearly determined that the seated occupant has lifted their shoulders from the seat S. Similarly, by multiplying the first reference values FR4 and FL4 corresponding to the waist by a coefficient K6 greater than 1, it can be clearly determined that the seated occupant's waist is pressed against the seat S.

[0313] When the smartphone SP issues an instruction to perform the right-foot-upward twist posture during the odd-numbered beats of the first eight of the 16 beats, it acquires pressure values from pressure sensor 25R corresponding to the right side of the seated person's back and pressure sensor 23R corresponding to the seated person's right thigh for a specified period of time, including the posture instruction time. Furthermore, the smartphone SP determines the degree of alignment between the seated person's posture and the right-foot-upward twist posture by comparing the maximum pressure value on the right side of the back with a second reference value SR5 for the right side of the back, and by comparing the minimum pressure value on the right thigh with a second reference value SR3 for the right thigh.

[0314] More specifically, whenever either of the following two conditions (Equations (7) and (8)) is satisfied, the smartphone SP adds 10 points to the exercise score. Therefore, for example, when both conditions (Equations (7) and (8)) are satisfied, the smartphone SP adds 20 points to the exercise score.

[0315] PR5≥SR5 type×K7…(7)

[0316] PR3≤SR3 type×K8…(8)

[0317] PR5: Maximum value of the pressure value obtained from the pressure sensor 25R corresponding to the right side of the back within a specified time period

[0318] PR3: Minimum value of the pressure value obtained from the pressure sensor 23R corresponding to the right thigh within a specified time period

[0319] K7, K8: coefficients

[0320] Here, SR5×K7 corresponds to the first threshold α, and SR3×K8 corresponds to the second threshold β. K7 can be a value greater than 1, such as 1.5. K8 can be a value less than 1, such as 0.8.

[0321] Although the second reference values SR5 and SR3 are multiplied by coefficients K7 and K8 to form thresholds α and β, respectively, thresholds α and β could also serve as the second reference values SR5 and SR3 themselves. However, by multiplying the second reference values by the coefficients, fluctuations in stress levels during practice mode are accounted for, allowing for clear determination of stress levels during sports games.

[0322] More specifically, for example, the second reference value SR5 corresponding to the right side of the back corresponds to the pressure value corresponding to the right side of the back obtained when performing the right foot twisting posture in the training mode. By multiplying the second reference value SR5 by this pressure value and then by a coefficient K7 greater than 1, it can be clearly determined that the seated user is forcibly pressing the right side of their back against the seat S. Similarly, by multiplying the second reference value SR3 corresponding to the right thigh by a coefficient K8 less than 1, it can be clearly determined that the seated user has lifted their right thigh from the seat S.

[0323] The only difference between when a smartphone issues an instruction for twisting the left foot upward and when it issues an instruction for twisting the right foot upward is that the left and right directions are reversed. Apart from that, they operate in a similar manner, so the description thereof will be omitted.

[0324] After the exercise game is finished, the smartphone SP determines an evaluation value based on the exercise points and displays the evaluation value on the display screen DSP (S223). Figure 24 The table shown determines the evaluation value. For example, if the exercise score Pt is less than 35 points, the smartphone SP determines the evaluation value to be "Worst." If 35 ≤ Pt < 70, the smartphone SP determines the evaluation value to be "Bad," and if 70 ≤ Pt < 90, the smartphone SP determines the evaluation value to be "Good." Furthermore, if 90 ≤ Pt < 110, the smartphone SP determines the evaluation value to be "Great," and if 110 ≤ Pt, the smartphone SP determines the evaluation value to be "Excellent." After the smartphone SP displays the evaluation value on the display DSP, the start page is displayed.

[0325] Return Reference Figure 15 After step 223, or if the answer is No in step S213, the smartphone SP determines whether Figure 16 On the start page shown, the user selects button B5 (S224) to end the sports game. If it is determined in step S224 that button B5 is not selected (No), the smartphone SP returns to step S212. If it is determined in step S224 that button B5 is selected (Yes), the smartphone SP ends this process.

[0326] Hereinafter, one example of a specific operation of the seat system 1 will be described.

[0327] like Figure 14 As shown in FIG. 1 , if the seated person operates the smartphone SP and starts the exercise program in a state where the hardware components constituting the seat system 1 are able to communicate, Figure 15 In the process shown in the figure, the steps S211: Yes → S212 are executed in sequence, and the display DSP shows Figure 16 The start page shown.

[0328] When the user selects the start button B3, the judgment in step S213 is yes, and the process proceeds to step S214. If the user has never performed the sitting posture recognition mode, the judgment in step S214 is yes, and the sitting posture recognition mode and the practice mode (S215 to S220) are performed.

[0329] In the sitting posture recognition mode, the DSP is displayed on the display screen. Figure 17 According to the instructions on the screen, the seated person again presses his or her entire body against the seat S. When the countdown indication decreases from 16 to 0, the seated person maintains the posture, and the smartphone SP obtains pressure values from the various sensors 21 to 26.

[0330] like Figure 18 As shown, the smartphone SP displays the user's sitting posture on the display DSP based on the pressure value obtained in the sitting posture recognition mode. In this way, the user can understand how their weight is distributed on the left and right sides when sitting and learn the correct sitting posture.

[0331] The smartphone SP sets a first reference value based on the pressure value obtained during the sitting posture recognition mode, the first reference value being used to evaluate a reference posture in the exercise game.

[0332] In practice mode, the smartphone SP displays the Figures 19 to 23 The smartphone SP sets a second reference value based on the pressure value obtained in the exercise mode for evaluating the twisting posture in the exercise game.

[0333] After the training mode ends, the smartphone SP starts the training game (S221). In the training game, the smartphone SP displays the Figures 19 to 23 and obtains pressure values from corresponding sensors 21 to 26.

[0334] In the practice mode and the training game, the first images Gf1 to Gf6 as targets and the second images Gs1 to Gs6 reflecting the postures of the seated person are displayed side by side on the display screen DSP. Figure 19 As shown in FIG. 1 , when the second image Gs6 corresponding to the pressure sensor 26 in the shoulder area that should not react is displayed more prominently than the first image Gf6, the seated user who intends to adopt the reference posture can recognize that their posture is incorrect. Therefore, in this case, the seated user can adopt the correct reference posture by lifting their shoulders off the seat S, so that the display of the second image Gs6 becomes the same as the first image Gf6.

[0335] For example, Figure 20 As shown, if the seated person forgets to lift their right foot while performing the right-foot-up posture, the pressure sensor 23R corresponding to the right thigh reacts, and the second image Gs3 corresponding to the pressure sensor 23R is displayed more prominently than the first image Gf3. Therefore, in this case, the seated person can lift their right foot to assume the correct right-foot-up posture, causing the display of the second image Gs3 to become the same as the first image Gf3.

[0336] As described above, the seat system 1 of this embodiment can achieve the following advantageous effects.

[0337] Since the first image corresponding to the target sensor is displayed in such a manner that when the seated person sitting on the seat S makes a prescribed posture according to the instruction from the smartphone SP, it can be more prominently displayed compared to other first images, thereby allowing the seated person sitting on the seat to perform the exercise correctly.

[0338] Since the smartphone SP displays the first image corresponding to the target sensor in a color different from other first images, the first image corresponding to the target sensor can be made more prominent by the color difference.

[0339] Since the first image as the posture target and the second image that changes according to the seated person's movement are displayed on the screen, the seated person can confirm whether he or she is performing the prescribed posture.

[0340] Since the smartphone SP makes the second image corresponding to the sensor with a stronger response larger than the other second images, the second image corresponding to the sensor with a stronger response can be made more prominent due to the difference in size.

[0341] Since the plurality of first images and the plurality of second images are displayed side by side, the seated person can easily compare the first image as a target and the second image that changes according to the seated person's movements.

[0342] Since the smartphone SP calculates the evaluation value based on the information obtained when the instruction for the prescribed posture is issued within the prescribed time period, for example, this method can accurately evaluate the degree of matching between the seated person's posture and the prescribed posture compared to a method that calculates the evaluation value based on information obtained when the instruction for the prescribed posture is issued.

[0343] Since the pressure sensors 21 to 26 are provided on both the seat cushion S1 and the seat back S2, the pressure sensors 21 to 26 can detect the movement of the lower body and the upper body of the seated person, and the prescribed posture can include various postures so as to be able to instruct the seated person to perform various actions.

[0344] Because pressure sensors 21-26 are used as sensors, they can obtain arbitrarily variable pressure values, compared to, for example, optical sensors that can only obtain on / off output signals. Therefore, the conspicuity of the first and / or second images can be set to three or more levels, allowing the prescribed gestures to include a variety of postures.

[0345] The above-described second embodiment can be implemented in various other forms as described below. In the following description, the same reference numerals are applied to structures similar to those of the above-described embodiment, and description thereof will be omitted.

[0346] In the above embodiment, the first images Gf1 to Gf6 and the second images Gs1 to Gs6 are displayed side by side, but the arrangement direction of the first and second images may be in a direction other than left to right. Figure 25 As shown, the smartphone SP may display a plurality of first images Gf1 to Gf6 and a plurality of second images Gs1 to Gs6 on the screen in an overlapping manner.

[0347] More specifically, in Figure 25 In the illustrated configuration, the first images Gf1-Gf6 are displayed as circles drawn with dashed lines of varying colors and sizes, while the second images Gs1-Gs6 are displayed as filled circles drawn with solid lines of varying colors and sizes. Specifically, as the reaction becomes stronger, the sizes of the first images Gf1-Gf6 are successively larger, and the colors of the first images Gf1-Gf6 are correspondingly made more prominent in the seat image SG1. Similarly, as the pressure value increases, the sizes of the second images Gs1-Gs6 are successively larger, and the colors of the second images Gs1-Gs6 are correspondingly made more prominent in the seat image SG1. In this configuration, the second image is not displayed when the pressure value is 0.

[0348] According to this configuration, since the plurality of first images Gf1 to Gf6 and the plurality of second images Gs1 to Gs6 overlap each other, the seated person can easily compare the first image as a target and the second image changed according to the seated person's movement.

[0349] In the above embodiment, the color and size of the image (the first image or the second image) are changed to make the image stand out. However, the shape or intensity of the image may be changed to make the image stand out.

[0350] In the above embodiment, pressure sensors 21 to 26 are used as examples of sensors. For example, the sensors may be optical sensors, etc., and an evaluation value indicating the degree of matching between the seated user's posture and the prescribed posture may be calculated based on information indicating whether the optical sensors detect light. If the optical sensors are capable of detecting the amount of light, the evaluation value may be calculated based on information regarding the amount of light.

[0351] Although an exercise game is given as an example of a game in the above embodiment, the game may be, for example, a meditation game that requires the seated person P to sit cross-legged on a seat S. The meditation game encourages the seated person P to maintain a posture such that the pressure on the left and right sides of the seat cushion S1 is almost equal, and the pressure on the front and back sides of the seat cushion S1 is almost equal. More specifically, the meditation game allows the seated person P's movements (fluctuations in pressure values) to drive the movement of a cursor so that the cursor coincides with a target image. In addition to this cursor and target image, a first image and a second image indicating the position of the pressure sensor may also be displayed. In the meditation game, it is not necessary to change the posture every prescribed period of time; a single posture will also suffice.

[0352] Although a vehicle seat for an automobile is given as an example of the seat S in the above embodiment, the seat S may be a seat used in other vehicles, such as ships, airplanes, etc. The seat is not limited to a vehicle seat, and for example, the seat may be a legless seat with a backrest, such as used in a Japanese-style room.

[0353] Although the smartphone SP is used as an example of a terminal device in the above embodiment, the terminal device may be a mobile terminal device other than the smartphone SP, such as a tablet computer. The terminal device may also be a fixed terminal device located on the seat S, which may be provided integrally with the seat. The terminal device may also constitute a terminal device of a car navigation system.

[0354] The beat number for changing the posture may not be limited to the beat number described in the above embodiment and may be arbitrarily set as needed. In the above embodiment, the beat number is combined with the rhythm of music, etc., but the beat number may not be combined with the rhythm of music, etc.

[0355] [Third embodiment]

[0356] Hereinafter, a third embodiment will be described with reference to the drawings.

[0357] like Figure 26 As shown, the seat system 1 of this embodiment includes a first seat A1 and a seat experience device SM.

[0358] The first seat A1 includes a first seat body S10 and pressure sensors PS1 to PS6. In this example, the first seat body S10 is a vehicle seat, such as one installed in a vehicle, and includes a seat cushion S1, a seat back S2, and a headrest S3. The seat cushion S1 and seat back S2 include a plurality of pressure sensors PS1 to PS6 beneath a cover 10. The pressure sensors PS1 to PS6 are used to detect the movements of a person seated in the first seat body S10.

[0359] Pressure sensors PS1-PS6 detect the state of the seat surface facing the occupant of the first seat body S10 and can acquire pressure values from the occupant of the seat body S10. An ECU 100 (electronic control unit) is connected to the pressure sensors PS1-PS6, which is a device for controlling the operation of the first seat body S10 (e.g., the motor-driven reclining mechanism and heater, not shown). The ECU 100 is connected to the pressure sensors PS1-PS6 and can acquire measurement values from each of the pressure sensors PS1-PS6.

[0360] The corresponding pressure sensors PS1 to PS6 are arranged in pairs, and each pressure sensor is located on the left and right sides, symmetrically relative to the left and right center positions of the first seat body S10.

[0361] More specifically, pressure sensors PS1 to PS3 are provided at the seat cushion S1.

[0362] The pressure sensor PS1 is located at the lowest part of the seated person's ischium, which is the position where the seated person has the greatest weight.

[0363] The pressure sensor PS2 is located slightly in front of the pressure sensor PS1.

[0364] Both pressure sensors PS1 and PS2 are used to measure the pressure from the seated person's buttocks, but only one pair of them may be provided.

[0365] Pressure sensor PS3 is located in front of pressure sensor PS1 and pressure sensor PS2, and is located far away from each other. Pressure sensor PS3 is located below the thigh of the seated person and can measure the pressure value from the thigh of the seated person.

[0366] Pressure sensors PS4 to PS6 are installed on the seat back S2. Pressure sensor PS4 is set at the position corresponding to the back of the seated person's waist.

[0367] The pressure sensor PS5 is located slightly above the pressure sensor PS4.

[0368] Both pressure sensors PS4 and PS5 are used to measure the pressure from the waist of the seated person, but only one pair of them can be provided.

[0369] Pressure sensor PS6 is located above pressure sensors PS4 and PS5 and is at a greater distance from them. Pressure sensor PS6 is installed at a position corresponding to the upper back of the seated person and can measure the pressure value from the upper back of the seated person.

[0370] In this embodiment, the seat system 1 provides a 100-meter sprint game using the pressure sensor PS3. In this embodiment, the pressure sensor PS3 is an example of a first sensor that acquires a first measurement value for detecting the motion of a seated person seated in the first seat body S10. The 100-meter sprint game involves the seated person in the first seat body S10 lifting their legs alternately up and down, causing the pressure sensor PS3 to detect pressure. This causes the character displayed on the smartphone SP's display screen DSP to run based on the number of times the seated person lifts their legs (steps), resulting in the character competing in a 100-meter race against characters controlled by the smartphone SP or other seated users (players).

[0371] The seat experience device SM includes an ECU 100 and a smartphone SP.

[0372] ECU 100 is connected to a short-range communication device 3A that implements near-field wireless communication, such as Bluetooth (registered trademark) or Wi-Fi (registered trademark). ECU 100 is connected to pressure sensors PS1 through PS6 via connector 30. Connector 30 includes a first connector 31 having multiple terminals, which connects to pressure sensors PS1 through PS6, and a third connector 33, which connects to seat experience device SM.

[0373] The configurations of the smartphone SP and the ECU 100 will be described later.

[0374] like Figure 27 As shown, the seat system 1 can be realized by connecting a second seat A2 with a seat experience device SM. The second seat A2 is a seat different from the first seat A1, for example, a seat that allows a disabled person who cannot move his legs to use the seat experience device SM in a similar way to a healthy person.

[0375] The second seat A2 includes a second seat body S20 and infrared sensors IS1 and IS2 as examples of second sensors.

[0376] The second seat body S20 includes, in addition to a seat cushion S1 , a seat back S2 , and a headrest S3 similar to the first seat body S10 , left and right armrests S4 rotatably provided on the seat back S2 .

[0377] Infrared sensors IS1 and IS2 are sensors used to obtain second measurement values to detect the movement of a seated person sitting in the second seat body S20. They are a different type of sensor from the pressure sensor PS3. The infrared sensors IS1 and IS2 are installed on the second seat body 20. Specifically, they are located on the upper surfaces of the front ends of the left and right armrests S4, respectively. The infrared sensors IS1 and IS2 sense infrared radiation. When a hand is placed on the infrared sensors IS1 and IS2, the hand is sensed, and the output voltage changes. In this embodiment, the second measurement value signals of the infrared sensors IS1 and IS2 have a smaller amplitude than the first measurement value signal of the pressure sensor PS3.

[0378] The infrared sensors IS1 and IS2 are connected to the ECU 100 of the seat experience device SM via a connector 30 . The connector 30 includes a second connector 32 connected to the infrared sensors IS1 and IS2 and a third connector 33 connected to the ECU 100 . Figure 27 The third connector 33 is shown with Figure 26 The third connector 33 shown is the same. That is, the third connector 33 can be connected to the first sensor and the second sensor. Figure 27 The seat experience device SM shown and Figure 26 The same is true for the seat experience device SM shown in the figure. That is, the seat experience device SM can obtain the first measurement value from the pressure sensor PS3 and the second measurement value from the infrared sensors IS1 and IS2.

[0379] The second seat body S20 is equipped with a holder 4 for securing a smartphone SP. Formed from bent wire, the holder 4 has one end secured to the seat back S2 and the other end having a securing portion 4A for securing the smartphone SP. By securing the smartphone SP to the securing portion 4A, the occupant can view the smartphone SP's display screen DSP without holding the smartphone SP in their hands. This allows the occupant to view the display screen DSP while operating smartphone SP applications by placing their hands over the infrared sensors IS1 and IS2.

[0380] like Figure 28 As shown, the ECU 100 includes a measurement value acquisition unit 110, a processing unit 120, a communication unit 130, and a storage unit 190. The ECU 100 and the smartphone SP each include a CPU, ROM, RAM, a rewritable non-volatile memory, etc. (not shown), and each functional unit is implemented by executing a preset program.

[0381] Measurement value acquisition unit 110 periodically acquires pressure measurement values from each of pressure sensors PS1 to PS6 and infrared sensors IS1 and IS2. The measurement values acquired by measurement value acquisition unit 110 are stored in storage unit 190 and used by processing unit 120. Storage unit 190 is used to store data required for calculations, processing, and the like.

[0382] The processing unit 120 has the functions of identifying the type of sensor connected to the ECU 100, communicating with the smartphone SP, and sending the measured value and sensor type to the smartphone SP. The sensor distinguishing unit 121 of the processing unit 120 is used to identify whether the sensor connected to the ECU 100 so that the ECU 100 can obtain the measured value is the pressure sensor PS3 or the infrared sensor IS1, IS2.

[0383] Here, the sensor selection unit 121 will be described while describing the structure of the connector 30 .

[0384] like Figure 31 As shown in (a), first connector 31 and second connector 32 each include multiple terminals, such as a female connector with 20 pins. Third connector 33 includes multiple terminals connected to both first connector 31 and second connector 32, such as a male connector with 20 pins. First connector 31 and second connector 32 each have holes for receiving 20 pins, but each hole does not necessarily contain active terminals; instead, some holes may be unused. As described later, the connection combination between the multiple terminals of second connector 32 differs from the connection combination between the multiple terminals of first connector 31.

[0385] like Figure 31 As shown in (b), functions corresponding to pin numbers (No.) are assigned to each of the multiple terminals. For example, Nos. 1 to 12 are signal terminals. Sensor output values are assigned to Nos. 1 to 12, respectively. For example, pressure sensors PS1 to PS6 are assigned to Nos. 1 to 12, respectively, and infrared sensors IS1 and IS2 are assigned to Nos. 1 and 2, respectively.

[0386] Terminal No. 13 is a common terminal, such as a 5V terminal. Terminal No. 13 of the third connector 33 is a common output terminal set to a predetermined voltage. On the other hand, Terminal No. 13 of the first connector 31 and the second connector is a common input terminal that contacts the common output terminal.

[0387] Terminals 14 to 20 are identification terminals for identifying the type of connected sensor. Terminals 14 to 20 of the third connector 33 are at least one identification signal input terminal for detecting an identification voltage. Meanwhile, at least one of the first connector 31 and the second connector 32 has at least one identification terminal in terminals 14 to 20 for connecting to an identification signal input terminal, and this identification terminal is electrically connected to a common input terminal. Neither the first connector 31 nor the second connector 32 necessarily has an active identification terminal (for connecting to an identification signal input terminal) in terminals 14 to 20.

[0388] The first connector 31 and the second connector 32 are different from each other in arrangement of some identification terminals corresponding to the identification signal input terminals of the third connector 33 (ie, corresponding to Nos. 14 to 20).

[0389] For example, the No. 14 portion of the first connector 31 does not include an identification terminal connected to the common input terminal (No. 13), and the No. 14 portion of the second connector 32 includes an identification terminal connected to the common input terminal (No. 13). Figure 32 As shown in (a), when the first connector 31 is connected to the third connector 33, a LOW signal is obtained at ECU100, and the sensor distinguishing unit 121 can recognize the LOW signal assigned to No. 14, for example, ECU100 determines that it is a sensor of Company A. On the other hand, when the second connector 32 is connected to the third connector 33, a HIGH signal is obtained at ECU100, and the sensor distinguishing unit 121 can recognize the HIGH signal assigned to No. 14, for example, ECU100 determines that it is a sensor of Company B.

[0390] Likewise, the sensor distinguishing unit 121 can identify the type of sensor by determining whether No. 15 to 17 of the connectors (eg, the first connector 31 and the second connector 32) connected to the third connector 33 provide a combination of identification terminals. Figure 32 As shown in (b), if no identification terminal is provided for any of Nos. 15 to 17, all Nos. 15 to 17 will be LOW signals, indicating a pressure sensor is connected. If only No. 17 has an identification terminal, only No. 17 will be HIGH, indicating an infrared sensor is connected. If only No. 16 has an identification terminal, it is possible to determine whether a heart rate sensor is connected. Regarding connections with other sensors, providing identification terminals that differ from the combination of pressure and infrared sensors allows for identification of multiple sensor types. For Nos. 18 to 20, sensors corresponding to a combination of HIGH and LOW signals can also be configured.

[0391] When the ECU 100 is powered on and another connector is connected to the third connector 33 , the sensor distinguishing unit 121 identifies the type of sensor corresponding to the connected connector and transmits the ID (identification information) of the ECU 100 and the identified sensor type to the smartphone SP.

[0392] return Figure 28 , the smartphone SP includes a signal correction unit 211 , a motion detection unit 212 , a game processing unit 213 and a storage unit 290 .

[0393] When the sensor identified by the sensor distinguishing unit 121 is the infrared sensor IS1 or IS2, the signal correcting unit 211 has the function of correcting the amplitude of the input signal obtained from the infrared sensor IS1 or IS2 so that the amplitude of the input signal is close to the amplitude of the signal obtained from the pressure sensor PS3.

[0394] More specifically, the signal correction unit 211 generates a corrected input signal by multiplying the input signal (value) input as a digital value by a correction coefficient. Therefore, the signal (signal value) acquired from the sensor is multiplied by the correction coefficient and stored in a table associated with the sensor type in the storage unit 290. For example, in the storage unit 190, 1 is stored for the pressure sensor PS3, and 2 is stored for the infrared sensors IS1 and IS2, etc.

[0395] The signal correction unit 211 refers to the storage unit 290 , obtains a correction coefficient corresponding to the sensor based on the sensor type received from the ECU 100 , and multiplies the input signal by the correction coefficient to generate a corrected input signal.

[0396] For example, the correction factor of pressure sensor PS3 is 1, so Figure 29 The input signals SIR, SIL, etc. shown in (a) are directly used as the input signals for calibration. Since the calibration coefficient of the infrared sensor is 1 and IS2 is 2, when the input is Figure 30 When the input signal is shown in (a), the value is doubled to generate Figure 30 (b) shows the corrected input signal. Thus, even if the amplitudes IS1 and IS2 of the input signals from the infrared sensor are small, they can be corrected to have the same amplitude as the corrected input signal from the pressure sensor PS3, allowing motion detection using the same threshold SIth.

[0397] The motion detection unit 212 detects the motion of the seated person based on the input signal obtained. In this embodiment, the input signal is multiplied by a correction coefficient to obtain a corrected signal, and the motion of the seated person is detected based on this signal. More specifically, the motion detection unit 212 compares the corrected input signal with the threshold SIth, and generates a detection signal when the corrected input signal is lower than the threshold SIth (the corrected signal changes so that the signal value crosses the threshold Sith). The motion detection unit 212 can therefore generate a detection signal based on the measurement value of the pressure sensor PS3. Figure 29 (b) The motion detection unit 212 can also be based on the correction input signal ( Figure 30 (b)) Generate Figure 30 (c) The motion detection unit 212 can detect the motion of the seated person through the first detection value or the second detection value.

[0398] The game processing unit 213 has a function for processing a game using the detection signal. In this embodiment, the game provided on the smartphone is a 100-meter sprint game. Each time a detection signal is generated, the step count is incremented by one, and the game character moves one meter on the display screen DSP of the smartphone SP. Specifically, the seat experience device SM is configured to be able to perform specified operations, and the motion detection unit 212 causes the game character to move forward (run) one step based on the detected motion of the seated user.

[0399] Taking a 100-meter sprint game as an example, a simple description is provided. The game processing unit 213 displays a start page with a game start button on the display screen DSP, prompting the seated user to begin the game. When the seated user selects the game start button, instructions for the character to run are displayed on the display screen DSP based on the sensor type received by the game processing unit 213 from the ECU 100. For example, when the sensor is a pressure sensor PS3, instructions such as "Alternately lift your right and left legs up and down. If you alternate your legs quickly, the character will run faster." When the sensor is an infrared sensor IS1 or IS2, the instruction "Wave your hand left and right over the optical sensor. If you wave your hand quickly, the character will run faster" will be displayed. In other words, the smartphone SP (seat experience device SM) is configured to prompt the seated user to perform actions. These instructions can be output via voice.

[0400] The game processing unit 213 is configured to execute the processing of the game by moving the character in response to the detected signal until the game player completes the 100-meter run, and after completing the 100-meter run, display the time taken from start to finish on the display screen DSP.

[0401] Below, we will refer to Figure 33 and Figure 34The described seat handles an example with the experience device SM.

[0402] like Figure 33 As shown, when the power is turned on, the ECU 100 refers to the above table and identifies (differentiates) the sensor connected to the third connector 33 based on the signal input from the identification signal input terminal (S311). The ECU 100 determines (distinguishes) whether a connection with the smartphone SP has been established (S312). If a connection has been established (S312, Yes), the ECU 100 transmits the ECU ID and the identified sensor type to the smartphone SP and terminates the process (S313). On the other hand, if a connection with the smartphone SP has not been established (S312, No), the process terminates.

[0403] like Figure 34 As shown, the smartphone SP application determines whether a connection with the ECU 100 has been established (S321). If the connection is not established (S321, No), the process ends. If the connection with the ECU 100 has been established (S321, Yes), the application receives the ECU 100 ID and sensor type from the ECU 100 (S322). The application then references the data stored in the storage unit 290 and sets a correction coefficient based on the sensor type (S323).

[0404] The game processing unit 213 prompts the seated person to start the game, and when the seated person selects the game start button, the 100-meter sprint game starts (S324). The game processing unit 213 shows the instructions for the character to run on the display screen DSP according to the type of sensor (S325).

[0405] After the 100-meter sprint race begins, the signal correction unit 211 corrects the input signal received from the ECU 100 by multiplying the input signal by the set correction coefficient (S326). The motion detection unit 212 compares the corrected input signal with the threshold Slth. If the corrected input signal is lower than the threshold Slth, it generates a detection signal (S327). Each time a detection signal is generated, the game processing unit 213 updates the image on the display screen DSP, causing the character to take one step forward (1 meter).

[0406] Repeat steps S326 and S327 until the character runs 100 meters (S328, No), and after the character runs 100 meters, when the number of detection signals generated reaches 100 (S328, Yes), record the time taken to run 100 meters, that is, the time taken for the number of detection signals to reach 100 from the beginning is displayed on the display screen DSP as the game result (S329), and the processing ends.

[0407] As described above, the seat system 1 of this embodiment can achieve the following advantageous effects.

[0408] A user sitting in the first seat body S10 can have the pressure sensor PS3 detect the lifting of their legs, causing the seat experience device SM to perform a specific action—instance, making the character run in a 100-meter sprint game. Conversely, a user sitting in the second seat body S20 can have the infrared sensors IS1 and IS2 detect the movement of their hands, causing the seat experience device SM to perform a specific action—instance, making the character run in a 100-meter sprint game. Therefore, any action that can be detected by either the pressure sensor PS3 or the infrared sensors IS1 and IS2 can be used to perform an exercise using the seat. This allows many people to use the seat for exercise. For example, even if someone cannot perform the same exercise as others, they can participate in the same community and enjoy the exercise experience by using the seat.

[0409] Since the seat experience device SM prompts the seated person to exercise, the seated person can exercise and effectively use the seat system 1.

[0410] Since the signal correction unit 211 corrects the amplitude of the input signals of the infrared sensors IS1 and IS2 so that they are similar to the input signals from the pressure sensor PS3, when the infrared sensors IS1 and IS2 are used, the seat experience device SM can work in a similar way to when the pressure sensor PS3 is used.

[0411] Since the seat system 1 can identify which of the first connector 31 and the second connector 32 is connected to the third connector 33 by a signal input from the identification signal input terminal of the third connector 33, the type of sensor can be identified even without providing an IC chip having a storage medium, etc. In other words, the type of sensor can be identified using a simple structure.

[0412] [Fourth embodiment]

[0413] Hereinafter, a fourth embodiment will be described. In the fourth embodiment, only the parts different from the third embodiment will be described, and the parts identical to the third embodiment will be denoted by the same numerals and their description will be omitted.

[0414] like Figure 35 As shown, in the seat system of the fourth embodiment, a threshold setting unit 214 is provided in the smartphone SP of the seat experience device SMA to replace the signal correction unit 211 .

[0415] When the sensor identified by sensor distinguishing unit 121 is pressure sensor PS3 (first sensor), threshold setting unit 214 sets the first threshold value to threshold value S1th. When the sensor identified by sensor distinguishing unit 121 is infrared sensors IS1 and IS2 (second sensor), threshold setting unit 214 sets a second threshold value, different from the first threshold value, to threshold value S1th. The second threshold value is pre-stored in storage unit 290 of the smartphone SP based on the sensor type and includes threshold values for infrared sensors IS1 and IS2 when the amplitude of the input signal falls within a certain range. Alternatively, the second threshold value can be set by calculating the average of the previously input high and low signal values within a specified time period, so that the second threshold value is set between the high and low signal values.

[0416] The motion detection unit 212 can detect the motion of the seated person by comparing the input signal with the threshold value set by the threshold value setting unit 214, in the same manner as the third embodiment.

[0417] In the fourth embodiment, Figure 36 As shown, the smartphone SP does not execute step S323 to set the correction coefficient ( Figure 34 ), but performs the process of setting the threshold value (S426) instead of step S326 ( Figure 34 ), that is, the input signal is corrected by multiplying the input signal by a correction coefficient.

[0418] According to the fourth embodiment, Figure 37 As shown in (a), the input signals SIR and SIL are set with a threshold value Sith within the amplitude range of the input signals SIR and SIL. When the input signals SIR and SIL exceed the threshold value SIth compared with the basic signal value, the following can be generated: Figure 37 (b) shows the detection signal.

[0419] As described above, according to the fourth embodiment, by adjusting the threshold value based on the characteristics of the second sensor, the seat experience device SM can be operated similarly to the seat experience device SM when using the second sensor. In other words, the seat experience device SMA can perform similar operations using multiple different types of sensors provided on the first seat body S10.

[0420] [Fifth embodiment]

[0421] Hereinafter, a fifth embodiment will be described. In the fifth embodiment, parts different from those of the third embodiment will be described, and parts identical to those of the third embodiment are denoted by the same reference numerals, and description thereof will be omitted.

[0422] In the fifth embodiment, the infrared sensors IS1 and IS2 and the pressure sensor PS3 are described in the third embodiment as the first and second sensors, respectively. Without the amplifier circuit 40 (described later), the output and amplitude of the pressure sensor PS3 are smaller than those of the infrared sensors IS1 and IS2. In the fifth embodiment, the seat with the pressure sensor PS3 is the second seat, and the seat with the infrared sensors IS1 and IS2 is the first seat.

[0423] Based on the above, each pressure sensor PS3 includes a sensor element PS3e for detecting pressure and an amplifier circuit 40. The amplifier circuit 40 amplifies the signal from the sensor element PS3e so that the amplitude of the second measurement value from the pressure sensor PS3 approximates the amplitude of the first measurement value of the infrared sensors IS1 and IS2.

[0424] The amplifier circuit 40 includes a first resistor Rm, an operational amplifier OP, a first resistor Rm, a second resistor Rpu, and a third resistor Rpd. The detection resistor Rfsr serves as the sensor element PS3e, and its resistance value changes with the pressure of the measurement object.

[0425] The first resistor Rm is connected in series with the detection resistor Rfsr between the power supply Vpp and the ground GND. More specifically, the end of the first resistor Rm connected to the detection resistor Rfsr of the sensor is connected to the ground GND, and the end of the detection resistor Rfsr connected to the first resistor Rm is connected to the power supply Vpp.

[0426] The operational amplifier OP is an amplifier consisting of a non-inverting input terminal (+), an inverting input terminal (-), and an output terminal. The non-inverting input terminal (+) is connected to the wire between the sensor's sense resistor Rfsr and the first resistor Rm. The output voltage Vout at the output terminal is fed back to the inverting input terminal (-) via a negative feedback circuit. The second resistor Rpu is located in the negative feedback circuit. The third resistor Rpd is located between the negative feedback circuit and ground.

[0427] In this amplifier circuit 40 , the amplification ratio can be changed by changing the resistance values of the first resistor Rm, the second resistor Rpu, and the third resistor Rpd.

[0428] On the other hand, although not shown, the smartphone SP of the seat experience device SM does not include the signal correction unit 211 of the third embodiment and the threshold value setting portion 214 of the fourth embodiment.

[0429] In this seat system, pressure sensor PS3, an example of a second sensor for the second seat, includes amplifier circuit 40. This amplifies the second measured value of pressure sensor PS3 so that its amplitude approximates the first output values IS1 and IS2 of the infrared sensors. This eliminates the need for signal calibration or threshold setting for each sensor type in the seat experience device, allowing the second seat using pressure sensor PS3 to operate similarly to the first seat using infrared sensors IS1 and IS2. In other words, there is no need to adjust the sensor input signals in the seat experience device.

[0430] [Sixth embodiment]

[0431] Hereinafter, a sixth embodiment will be described. In the sixth embodiment, parts different from those of the third embodiment will be described, and parts identical to those of the third embodiment are denoted by the same reference numerals, and description thereof will be omitted.

[0432] like Figure 39 As shown, in the sixth embodiment of seat system 1B, seat A3 includes pressure sensors PS1-PS6 and infrared sensors IS1 and IS2, which serve as examples of second sensors. Pressure sensors PS1-PS6 include pressure sensor PS3, which serves as an example of a first sensor. In other words, both the first and second sensors are located in seat body S30. Each of sensors PS1-PS6, IS1, and IS2 is connected to seat experience device SM via connector 30.

[0433] Each sensor PS1 to PS6, IS1, and IS2 includes a memory that stores sensor identification information (ID) and the type of sensor, such as an infrared sensor or a pressure sensor, so that the ECU 100 can determine the type of sensor connected to each wiring by referring to the memory of each sensor PS1 to PS6, IS1, and IS2. IS2 is connected to each sensor PS1 to PS6, IS1, and IS2 via a wire. Therefore, the connector 30 does not need to have a terminal for identification as in the third embodiment.

[0434] Similar to the third embodiment, the smartphone SP stores the correction coefficient corresponding to the type of sensor in the storage unit 290 and sets the correction coefficient according to the type of sensor acquired from the memory.

[0435] With this configuration, users sitting in the first seat A1 can use the seat experience device SM in the same way using either the pressure sensor PS3 or the infrared sensors IS1 and IS2. Therefore, any movement detected by either the pressure sensor PS3 (first sensor) or the infrared sensors IS1 and IS2 (second sensors) can be used to perform an exercise. This allows multiple people to use the seat for exercise. For example, even if someone cannot perform the same movements as others, they can still participate in the same community and enjoy the exercise experience by using the seat.

[0436] [Seventh embodiment]

[0437] Hereinafter, a seventh embodiment will be described. In the seventh embodiment, only the parts different from the third embodiment will be described, and the same parts as the third embodiment are marked with the same reference numerals and their description will be omitted.

[0438] like Figure 40 As shown, in the seventh embodiment, the seat system 1C includes pressure sensors PS1-PS6 of the first seat A1 and infrared sensors IS1 and IS2 of the second seat connected to a seat experience device SMC. Specifically, the seat experience device SMC includes an ECU 100 connected to the first seat A1, an ECU 100 connected to the second seat A2, and a smartphone SP connected to both ECUs 100 via near-field communication.

[0439] The smartphone SP can obtain the first measurement value of the pressure sensor PS3 from the first seat A1, and drive the character to participate in the 100-meter race by having the seated person sitting in the first seat A1 raise their legs. The smartphone SP can obtain the second measurement value of the infrared sensors IS1 and IS2 from the second seat A2, and drive another character to participate in the 100-meter race at the same time by having the seated person sitting in the second seat A2 wave at the infrared sensors IS1 and IS2.

[0440] According to such a configuration, a seated person sitting on the first seat A1 and a seated person sitting on the second seat A2 can participate in a 100-meter sprint race.

[0441] The third to seventh embodiments described above may also be modified where appropriate.

[0442] For example, in the above embodiment, the operation of a 100-meter sprint game is shown as an example of a game. A similar configuration can be used to operate another game. The hardware used to operate the seat experience device is not limited to a smartphone SP and can also be a personal computer, a navigation system, etc. Furthermore, it is not limited to hardware including a display and can also be a phone, audio equipment, etc.

[0443] In the above-described embodiments, a pressure sensor and an infrared sensor are given as examples of the sensor type, but the sensor type may be a temperature sensor, a humidity sensor, a push switch, a capacitance sensor, or the like.

[0444] In the above embodiment, the ECU and the smartphone are connected via near-field wireless communication, but they may be connected via wired communication. The ECU and the smartphone may also be connected so as to be able to communicate via Internet communication.

[0445] In the above embodiment, only the movements of lifting the legs up and down and waving the hands left and right are given as examples of actions for operating the seat experience device, but it can also be another movement, such as twisting the upper body, swinging the upper body back and forth, rotating left and right, or swinging the hips.

[0446] Although the seat body installed in a vehicle such as an automobile is given as an example of a seat in the above embodiment, the seat body (first seat body, second seat body) may be a seat for a train or a vehicle other than an automobile such as a ship or airplane. Alternatively, a seat other than a vehicle, such as a seat located in a welfare facility, may be used.

[0447] [Eighth embodiment]

[0448] Hereinafter, an eighth embodiment will be described with reference to the drawings.

[0449] like Figure 41 As shown, the seat system 1 includes a seat S as an example of a seat, a wearable device W, and a smartphone SP as an example of a terminal device.

[0450] In one example, the seat S is a vehicle seat to be installed in a vehicle such as an automobile. Hereinafter, front and back, left and right, and up and down are defined with respect to a seated person P sitting on the seat S as a reference.

[0451] like Figure 42 As shown, the seat S includes a seat body S0 and an ECU (electronic control unit) 100. The seat body S0 includes a seat cushion S1 and a seat back S2. The seat cushion S1 and the seat back S2 each include a seat cushion pad 20 and a cover 10 covering the seat cushion pad 20. The seat cushion pad 20 is made of polyurethane foam or a similar material and is supported by a frame (not shown). The cover 10 is made of artificial leather, fabric, or the like.

[0452] A plurality of pressure sensors PS1-PS6 are provided beneath the cover 10 of the seat cushion S1 and seat back S2. These pressure sensors PS1-PS6 are examples of first sensors that detect first information regarding the movement of a seated person P seated on the seat body S0. These pressure sensors PS1-PS6 are capable of detecting the state of the seat surface facing the seated person P seated on the seat body S0 and acquiring pressure values from the seated person P seated on the seat body S0.

[0453] The corresponding pressure sensors PS1 to PS6 are provided in pairs, with each sensor being located on the left and right sides, symmetrical with respect to the left and right center positions of the vehicle seat S.

[0454] More specifically, pressure sensors PS1 through PS3 are positioned on seat cushion S1. Pressure sensor PS1 and pressure sensor PS2 are positioned on seat cushion S1 at locations corresponding to the buttocks of the seated occupant P. Pressure sensors PS1 and PS2 constitute a first seat cushion sensor SC1, which measures pressure from the buttocks of the seated occupant P. Pressure sensor PS2 is positioned slightly forward of pressure sensor PS1. First seat cushion sensor SC1 may include only one pair of pressure sensors PS1 and PS2.

[0455] The pressure sensor PS3 is located under the thigh of the seated person P. The pressure sensor PS3 constitutes the second seat cushion sensor SC2 and is used to measure the pressure value from the thigh of the seated person P. The pressure sensor PS3 is located in the front and is far away from the pressure sensor PS1 and the pressure sensor PS2.

[0456] Pressure sensors PS4 through PS6 are mounted on the seatback S1. Pressure sensor PS4 is positioned at a location corresponding to the occupant's P waist. Pressure sensor PS5 is located slightly above pressure sensor PS4. Pressure sensors PS4 and PS5 together constitute a first back sensor SB1, which measures pressure from the occupant's P waist. First back sensor SB1 may include only one pair of pressure sensors PS4 and PS5.

[0457] Pressure sensor PS6 is located above and at a greater distance from pressure sensors PS4 and PS5. Pressure sensor PS6 is positioned relative to the back of the seated person P. Pressure sensor PS6 constitutes the second back sensor SB2, which measures pressure from the shoulder blades of the seated person P.

[0458] The pressure sensors PS1 to PS6 are resistors whose voltage changes in accordance with the external pressure applied thereto, wherein the larger the pressure value, the higher (or lower, as the case may be) the voltage of the detection signal becomes.

[0459] A coating 35 is applied to the outer surface of outer shell 10 to indicate the position of each pressure sensor PS1-PS6. Coating 35 is applied to the outer surface of outer shell 10, and is visible from the outside of outer shell 10. The color of coating 35 is different from the color of the outer surface of the outer shell. Specifically, if the outer surface of outer shell 10 is black, coating 35 can be a color such as yellow to make the yellow color stand out more.

[0460] Such a coating 35 provides some markings so that the position of each pressure sensor PS1 to PS6 can be visually identified from the outside of the seat body S0 before the seat occupant P sits on the seat S.

[0461] The ECU 100 is connected to the pressure sensors PS1 to PS6 and can acquire pressure values from the respective pressure sensors PS1 to PS6 . The ECU 100 can transmit information detected by the respective pressure sensors PS1 to PS6 to the smartphone SP.

[0462] More specifically, the ECU 100 is connected to a short-range communication device 3A that implements near-field wireless communication, such as Bluetooth (registered trademark), Wi-Fi (registered trademark), etc. The ECU 100 can communicate with the smartphone SP via the short-range communication device 3A.

[0463] The ECU 100 , the smartphone SP, and the wearable device W each include a CPU, ROM, RAM, a rewritable nonvolatile memory, etc. (not shown), and execute pre-set programs. The smartphone SP also includes a display screen DSP.

[0464] The wearable device W is a clock-type device worn on the arm of a seated person P. It also includes a display W1 and an acceleration sensor W2. The wearable device W has the function of obtaining the seated person's step count based on the acceleration detected by the acceleration sensor W2 and the function of transmitting the seated person P's step count to the smartphone SP.

[0465] Here, the second sensor of this embodiment is composed of an acceleration sensor W2 and a step count conversion unit (a control unit composed of a CPU, etc. as described above). The second sensor of this embodiment obtains the number of steps taken by the seated person P and is used to detect an example of second information on the physical condition of the seated person P.

[0466] The smartphone SP has a function of acquiring pressure values from pressure sensors PS1 to PS6 via the ECU 100 and the number of steps taken within a specified period of time, for example, within the past hour (from one hour before the current time to the current time), from the wearable device W. The smartphone SP has a seat application installed that provides an executable game to the seated person P based on the signal (pressure value) output from the seat S.

[0467] The seat application of this embodiment can provide a 100-meter sprint game and a meditation game to the seated person P. In the 100-meter sprint game, a character displayed on the display screen DSP runs according to the pressure value output from the seat S. Since the content of the 100-meter sprint game is the same as that described in detail in the first embodiment, its detailed description will be omitted.

[0468] In this embodiment, the smartphone SP counts the number of steps as an example of the amount of exercise of the seated person P in the 100-meter sprint game. More specifically, the number of peak values Pm calculated during the 100-meter sprint game can be used as the number of steps.

[0469] After the 100-meter race, the smartphone SP displays the calculated number of steps on the display DSP. At the end of the 100-meter race, if the smartphone SP is in a state where it can communicate with the wearable device W, the smartphone SP sends the calculated number of steps to the wearable device W.

[0470] The wearable device W has a function of adding the number of steps sent from the smartphone SP to the number of steps measured in the wearable device W. Therefore, the results of the movement of the seated person P on the seat S can be reflected on the wearable device W, thereby accurately controlling the amount of movement of the seated person.

[0471] The meditation game requires the seated person P to sit on the seat in a cross-legged position. The meditation game encourages the seated person P to maintain a posture such that the pressure on the left and right sides of the seat cushion S1 is almost equal, and the pressure on the front and back sides of the seat cushion S1 is almost equal.

[0472] Specifically, the meditation game drives the cursor to move according to the center of gravity of the seated person P, matching the target displayed on the display screen DSP. More specifically, in the XY coordinate system displayed on the display screen DSP, if the center position of the target is (X0, Y0), the cursor position (Xn, Yn) is set to satisfy the following equation.

[0473] Xn=X0-((P1R+P2R+P3R) / 3-(P1L+P2L+P3L) / 3)

[0474] Yn=Y0-((P1R+P1L+P2R+P2L) / 4-(P2R+P2L+P3R+P3L) / 4)

[0475] P1R: Pressure value of right pressure sensor PS1

[0476] P1L: Pressure value of left pressure sensor PS1

[0477] P2R: Pressure value of right pressure sensor PS2

[0478] P2L: Pressure value of the left pressure sensor PS2

[0479] P3R: Pressure value of right pressure sensor PS3

[0480] P3L: Pressure value of the left pressure sensor PS3

[0481] The meditation game provides an evaluation value (e.g., GOOD, NORMAL, BAD) indicating that the closer the cursor position is to the center of the target (X0, Y0), the better the meditation performance. In the meditation game, the meditation results are displayed using the ratio of the evaluation values within a specified time period. For example, if the ratio of good evaluation values within the specified time period exceeds 90%, the letters "GOOD" are displayed as a result indicating that the meditation level of a Zen master has been achieved. If the ratio of good evaluation values within the specified time period is less than 70%, the letters "BAD" are displayed as a result indicating that meditation has not been achieved at all. In other cases, the letters "FAIR" are displayed as a result indicating that the meditation level of a normal person has been achieved.

[0482] The smartphone SP has a function of acquiring the number of steps taken in the past hour from the wearable device W when the seat application is activated, and presenting an exercise plan using the pressure sensors PS1 to PS3 to the seated person P based on the acquired number of steps. Figure 43 As shown, this embodiment provides a 100-meter sprint game, a meditation game, and a rest time (end seat application) as examples of exercise plans.

[0483] Smartphone SP calculates the number of steps in the past hour by comparing Figure 43 The specific benchmark values (3000, 5000) shown are compared to determine the plan to be presented to the seated person P. More specifically, when the number of steps in the past hour is less than 3000, because the seated person P has not exercised enough, the smartphone SP provides an exercise plan to encourage exercise, namely a 100-meter sprint game.

[0484] If the number of steps taken in the past hour is 3,000 or more and less than 5,000, the smartphone SP proposes an exercise plan that can be enjoyed with relatively little exercise, namely, a sitting meditation game, because the seated person P has exercised enough. Furthermore, if the number of steps taken in the past hour is 5,000 or more, the smartphone SP displays a rest time, indicating that the seated person P has exercised too much, and ends the exercise plan provided by the chair application.

[0485] The smartphone is configured to determine whether seated person P is seated in seat body S0 based on the pressure values obtained by pressure sensors PS1 to PS3, and to propose a plan to seated person P if it is determined that seated person P is seated. When seated person P executes the plan, while seated person P plays a 100-meter sprint game, smartphone SP calculates the number of steps taken in the 100-meter sprint game based on the pressure values, reconfirms the plan based on the number of steps calculated in the 100-meter sprint game and the number of steps obtained by the wearable device, and finally proposes a final plan.

[0486] Hereinafter, the operation of the smartphone SP (more specifically, a control unit in the smartphone SP) will be described.

[0487] When the seat user P starts the seat application, the smartphone SP starts Figure 44 In this control flow, the smartphone SP first determines whether it is in a state where it can communicate with the seat ECU 100 ( S511 ).

[0488] If it is determined in step S511 that it is not in a communication state (No), the smartphone SP ends this control process. If it is determined in step S511 that it is in a communication state (Yes), the smartphone SP determines whether it is in a communication state with the wearable device W (S512).

[0489] If it is determined in step S512 that it is in a communicable state (Yes), the smartphone SP is able to communicate with the wearable device W, sets the flag FL to 1 (S513), and obtains the number of steps in the past hour from the wearable device W and stores the number of steps (S514).

[0490] If it is determined in step S512 that it is not in a state capable of communication (No), the smartphone SP sets the flag FL to 0 (S515). After step S514 or step S515, the smartphone SP calculates the number of steps in the past hour and the number of steps in the past hour. Figure 43 The exercise plan is determined based on the table shown in FIG. 5 ( S516 ).

[0491] More specifically, when step S516 is executed for the first time after the chair application is activated, the smartphone SP determines an exercise plan based on the number of steps in the past hour acquired from the wearable device W. When the smartphone SP executes step S516 after executing the 100-meter sprint game or the meditation game, the number of steps in the past hour is recalculated based on the stored number of steps and the number of steps acquired in the 100-meter sprint game or the meditation game execution time period, and the exercise plan is determined again, as described below.

[0492] More specifically, when the smartphone SP executes step S516 after executing the 100-meter sprint game, the number of steps taken in the past hour is updated by subtracting the number of steps corresponding to the execution period of the 100-meter sprint game from the stored number of steps taken in the past hour to obtain the difference, and the number of steps taken in the 100-meter sprint game is added to the interpolated value. Furthermore, when the smartphone SP executes step S516 after executing the meditation game, the number of steps taken in the past hour is updated by subtracting the number of steps corresponding to the execution period of the meditation game from the stored number of steps taken in the past hour.

[0493] After step S516, the smartphone SP determines whether the seated person P is seated on the seat S based on the pressure value transmitted from the seat S (S517). If it is determined in step S517 that the seated person P is not seated (No), the smartphone SP displays a message on the display screen DSP (see Figure 45 ) to prompt the seated person P to sit on the seat S (S518).

[0494] If it is determined in step S517 that the seated person P is seated (Yes), the smartphone SP displays a game selection page for selecting a game on the display screen DSP (see FIG. Figure 46 )(S519). At this time, the smartphone SP displays the plan determined in step S515 on the game selection page, and displays a button for selecting the determined plan larger than other buttons.

[0495] After step S519, the smartphone SP determines whether the 100-meter sprint game is selected (S520). If it is determined in step S520 that the 100-meter sprint game is selected (Yes), the smartphone SP starts the 100-meter sprint game (S521).

[0496] After step S521, specifically, during the 100-meter sprint game, the smartphone SP calculates the number of steps based on the pressure value (S522). After step S522, specifically, after the 100-meter sprint game ends, the smartphone SP displays the number of steps of the game result on the display screen DSP (S523).

[0497] After step S523, the smartphone SP determines whether the flag FL, indicating that the smartphone SP can communicate with the wearable device W, is 1 (S524). If FL = 1 (Yes) in step S524, the smartphone SP transmits the number of steps obtained in the 100-meter sprint game to the wearable device (S525) and returns to step S516. If FL ≠ 1 is not true (No) in step S524, the smartphone SP skips step 525 and returns to step S516.

[0498] If the 100-meter sprint game is not selected (No) in step 520, the smartphone SP determines whether the meditation game is selected (S526). If the meditation game is selected (Yes) in step 526, the smartphone SP executes the meditation game (S527) and returns to step S516.

[0499] If the meditation game is not selected (No) in step S526, the smartphone SP determines whether the chair application has been terminated (S528). If the chair application is not terminated (No) in step S528, the smartphone SP returns to step S519. If the chair application is terminated (Yes) in step S528, the smartphone SP terminates the current control flow.

[0500] Hereinafter, an example of a specific operation of the smartphone SP will be described. Figure 41 As shown, when the hardware (S, W, SP) constituting the seat system 1 is able to communicate, Figure 44 In the control flow shown, when the seated person P who has hardly performed any exercise in the past hour operates the smartphone SP and starts the seat application, the processing of step S511: Yes → step S512: Yes → steps S513 and S514 is executed in sequence.

[0501] In step S514, the seated person P has hardly taken any exercise in the past hour, so the smartphone SP obtains a step count of less than 3000. Thereafter, the smartphone SP calculates the number of steps less than 3000 and the number of steps less than 3000. Figure 43 The table determines "100-meter sprint game" as the exercise plan (S516). After step S516, the smartphone SP determines whether the seated person P is sitting on the seat S based on the pressure value sent from the seat S (S517).

[0502] like Figure 45 As shown, if the seated person P does not sit on the seat S in step S517, a message such as "Sit on the seat and start the game" is displayed on the display screen DSP of the smartphone SP to prompt the seated person P to sit down (518). When the seated person P sits down according to the message, it is judged as yes in step S517 and the screen is displayed. Figure 46 The game selection page (S519) is shown.

[0503] On this game selection screen, since the exercise plan determined in step S516 is the "100-meter sprint game," a message such as "Please select the 100-meter sprint game" is displayed to encourage the seated person P to exercise, and the button B6 for starting the 100-meter sprint game is displayed larger than the other buttons B7 and B8. If the seated person P selects button B6, the judgment in step S520 is yes, and the 100-meter sprint game is executed (S521-S523).

[0504] After the 100-meter sprint game ends, the smartphone SP transmits the number of steps taken during the 100-meter sprint game to the wearable device W (S525), and returns to the process of step S516. If the seated person P plays the 100-meter sprint game several times and the number of steps in the past hour increases and becomes equal to or greater than 3,000 steps, the smartphone SP determines the "meditation game" as an exercise plan in step S516.

[0505] When the meditation game is determined as an exercise plan, the smartphone SP displays the following on the display DSP: Figure 47 The game selection page is shown. On this game selection page, a message "Please select a meditation game" is displayed, and button B7 for starting the meditation game is displayed larger than other buttons B6 and B8. If the seated user selects button B7, the judgment in step S526 is yes, and the meditation game is executed (S527).

[0506] If the seated person P plays the meditation game several times and the number of steps in the past hour decreases and becomes less than 3,000 steps, the smartphone SP determines the "100-meter sprint game" as the exercise plan again in step S516. Figure 47 In the game selection page shown, when the seated person P ignores the recommended plan and plays the 100-meter game several times, causing the number of steps in the past hour to increase and become equal to or greater than 5,000 steps, the smartphone SP determines "rest" as the exercise plan in step S516.

[0507] When rest is determined as an exercise plan, the smartphone SP displays the following on the display DSP: Figure 48 The game selection page is shown. At this point, the message "Please take a break" is displayed on the game selection page and on the break button B8. That is, during a break, the chair application is displayed larger than the other buttons B6 and B7. If the seated person P selects button B8, the judgment in step S528 is yes, and the chair application ends.

[0508] As described above, the seat system 1 of this embodiment can achieve the following advantageous effects.

[0509] The smartphone uses pressure sensors PS1 to PS3 to send an exercise plan to the seated person P based on the number of steps obtained from the wearable device W of the seated person P, so that an exercise plan suitable for the physical condition, physical information, activity information, etc. can be presented to the seated person P.

[0510] By adopting the pressure sensors PS1 to PS3 as the first sensors, it is possible to transmit to the seated person P an exercise plan using the pressure sensors PS1 to PS3 , specifically, a plan to encourage the seated person P to exercise.

[0511] By sending the plan to the seated person P while the seated person P is seated on the seat body S0 and presenting the plan when the seated person P is able to use the seat S, the seated person P can quickly select and implement the plan.

[0512] When the seated person P plays the 100-meter sprint game, the number of steps taken by the seated person P is counted and displayed to the seated person P, so the degree to which the seated person P exercises can be easily known.

[0513] An exercise plan is determined based on the number of steps reflecting the execution result of the plan and the number of steps obtained from the wearable device W and presented to the seated person P again, so the plan most suitable for the body of the seated person P at that time can be presented to the seated person P.

[0514] The number of steps counted during the 100-meter race is transmitted from the smartphone SP to the wearable device W, so the wearable device W can utilize this exercise amount (number of steps), and the wearable device W can store the accurate number of steps.

[0515] Since the smartphone SP compares the number of steps with a specific reference value to determine the plan of the seated person P, an appropriate plan can be obtained.

[0516] The eighth embodiment described above may be implemented in various other forms as described below.

[0517] For example, the seated person P is notified by displaying the number of steps of the seated person P calculated during the 100-meter sprint game on the display screen DSP. For example, the amount of exercise calculated based on the first information can be notified to the seated person through sound or the like.

[0518] In the above embodiment, the number of steps is used as an example of the second information. However, the second information may also be blood pressure. In this case, the second sensor is a sensor capable of acquiring blood pressure. Furthermore, in this case, for example, the table can be configured such that if blood pressure is below a first threshold, a 100-meter sprint game is determined as an exercise plan; if blood pressure is above the first threshold and below a second threshold, a meditation game is determined as an exercise plan; and if blood pressure is equal to or above the second threshold, a rest period is determined as an exercise plan.

[0519] In the above embodiment, the pressure sensors PS1 to PS3 are used as the first sensor. For example, the first sensor may be an optical sensor. In this case, information on whether light is detected by the optical sensor is used as the first information, and the number of steps can be calculated based on the first information.

[0520] In the above embodiment, a vehicle seat is given as an example of the seat S, but the seat may be a seat used in another vehicle such as a ship, an airplane, etc. The seat is not limited to a vehicle seat, and for example, the seat may be a seat without a leg and a backrest such as used in a Japanese-style room.

[0521] Although a clock-type device is given as an example of the wearable device W in the above-described embodiment, the wearable device may also be a glasses-type device or a clip-type device.

[0522] In the above embodiment, a smartphone SP is used as an example of a terminal device. The terminal device may also be a mobile terminal device other than a smartphone SP, such as a tablet computer, etc. The terminal device may also be a fixed terminal device located on the seat S, which may be provided as an integral part of the seat.

[0523] The elements of the exemplary embodiments and modified examples disclosed in this specification may be arbitrarily combined and implemented as needed.

Claims

1. Seat system, including seat (S), wearable device (W), terminal device (SP), The seat (S) includes a seat body (S0) and first sensors (PS1-PS6), wherein the first sensors (PS1-PS3) are arranged on the seat body (S0), and the first information obtained by the first sensors is used to detect the movement of the seated person; The wearable device (W) is worn by the seated person and includes a second sensor (W2), and the second information acquired by the second sensor is used to detect the physical state of the seated person; The terminal device (SP) is configured to propose an exercise plan using the first sensor (PS3) to the seated person based on the second information.

2. The seat system according to claim 1, wherein: The first sensors (PS1 to PS6) are pressure sensors, and the first information obtained is a pressure value.

3. The seat system according to claim 2, wherein: The terminal device (SP) is configured to determine whether the seated person is sitting on the seat body (S0) based on the first information, and to propose an exercise plan to the seated person on the condition that the seated person is sitting on the seat body (S0).

4. The seat system according to any one of claims 1 to 3, characterized in that: The terminal device (SP) is configured to calculate the amount of exercise of the seated person based on the first information when the seated person executes the exercise plan, and notify the seated person of the amount of exercise.

5. The seat system according to any one of claims 1 to 3, characterized in that: The terminal device (SP) is configured to calculate the amount of exercise of the seated person based on the first information when the seated person executes the exercise plan, and propose an exercise plan to the seated person based on the amount of exercise and the second information.

6. The seat system according to claim 4, wherein: The terminal device (SP) is configured to send the exercise amount to the wearable device.

7. The seat system according to claim 5, wherein: The terminal device (SP) is configured to send the exercise amount to the wearable device.

8. The seat system according to claim 1, wherein: The terminal device (SP) is configured to compare the second information with a specific reference value to determine an exercise plan to be proposed to the seated person.

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