Seat

Abstract

The invention provides a seat system and an application program, by which a seated person sitting on a seat can know own nerve reflex and the like. A seat system (1) includes a seat (S) including a seat body (S10) and sensors (pressure sensors 21-26) for acquiring motion information for detecting a seated person sitting on the seat body (S10), and a terminal (smartphone SP). The terminal is configured to acquire information from the sensor. The terminal issues an instruction to prompt a seated person to perform a prescribed action, determines whether the seated person has performed the prescribed action according to information acquired from the sensor, and notifies the seated person of a response time elapsed between issuing the instruction and performing the prescribed action, and / or an evaluation value based on the response time.

Description

Technical Field

[0001] The present invention relates to a seat system and an application program. The seat system has a seat with a sensor installed thereon, and the application program uses information obtained from the seat with the sensor to enable a terminal to operate. Background Art

[0002] To date, a car seat is known in the art, on which a plurality of pressure sensors are mounted to detect the posture of the seated person (see Japanese Patent Application Publication No. 2017-65504). Summary of the invention

[0003] However, the car seat in Japanese Patent Publication No. 2017-65504 only evaluates the driver's sitting posture, while the information obtained from the sensors installed in the seat may have more effective uses.

[0004] From this point of view, this specification proposes a seat system and application, through which the seat occupant can understand his or her own neural reflexes (reaction speed) to create new value for the seat.

[0005] On the other hand, training devices including sensors for rehabilitation, muscle training, etc. are known so far. For example, Japanese Patent Publication No. 2018-166935 discloses a device that can control the load according to the user's physical condition. When the training device is used, multiple measuring electrodes are installed on the user's body, and the load is adjusted according to the waveform pattern of the electrocardiogram.

[0006] However, this training equipment requires sensors to be installed on the user's body to detect the user's physical condition, which will prevent the user from exercising in a relaxed state and will also make people who are sensitive to hygiene feel uncomfortable.

[0007] Therefore, it is hoped that there is a method to obtain and utilize the user's physical parameters without installing the sensor on the user's body during use.

[0008] In one aspect, a seat system including a seat and a terminal is disclosed, wherein the seat includes a seat body and a sensor disposed at the seat body, information acquired by the sensor is used to detect a motion of a seated person sitting on the seat body, and the terminal acquires the information from the sensor.

[0009] The terminal issues an instruction to prompt the seated occupant to perform a prescribed action, and determines whether the seated occupant has performed the prescribed action based on the information obtained from the sensor; the terminal issues a notification to the seated occupant, the notification including a response time and / or an evaluation value, the response time being the time between issuing the instruction and performing the prescribed action, and the evaluation value being an evaluation value of the action based on the response time.

[0010] On the other hand, an application executable on a terminal is disclosed, which can obtain information from a sensor disposed in a seat body. Here, the application is a set of instructions executable by a terminal (i.e., a processor), and the application is stored in a storage medium and can be read from a computer terminal having a processor. The application causes the terminal to perform the following steps: an instruction step, issuing an instruction to prompt a seated person sitting on the seat body to perform a prescribed action; an acquisition step, obtaining the information from the sensor; a judgment step, judging whether the seated person has performed a prescribed action based on the information obtained from the sensor; a notification step, notifying the seated person of a response time and / or an evaluation value, wherein the response time is the time elapsed from issuing an instruction to performing a prescribed action, and the evaluation value is an evaluation value for evaluating the action based on the response time. The program is stored in a computer-readable storage medium for use.

[0011] Using the seat system or application as described above, when the seated person sitting on the seat performs a prescribed action according to the instruction from the terminal, the terminal notifies the seated person of the response time and / or other information that elapsed between the issuance of the instruction and the performance of the prescribed action. Therefore, the seated person sitting on the seat can understand his or her own neural reflexes.

[0012] The response time mentioned above may include reaction time and action completion time. The response time is the reaction time between the issuance of the instruction and the start of the prescribed action or the action completion time between the issuance of the instruction and the completion of the prescribed action.

[0013] According to this, since the response time includes one of the reaction time and the action completion time, the neural reflex of the seated person can be accurately measured.

[0014] In addition, the terminal may compare the calculated response time with a stored reference response time to determine the evaluation value.

[0015] In this way, the seated person can know the evaluation value based on the benchmark response time, thereby knowing the ability of his or her own neural reflexes.

[0016] The sensor includes a pressure sensor, and the terminal determines whether the seated person has performed the prescribed action based on a change in pressure acquired from the pressure sensor.

[0017] In this way, the movement of the seated person can be better judged using the pressure value obtained from the pressure sensor.

[0018] In addition, the terminal calculates a differential value of a signal obtained from a sensor, and determines that the prescribed action has started when the magnitude of the differential value exceeds a first threshold. That is, the determination step includes calculating a differential value based on the signal obtained from the sensor, and determining that the prescribed action has started when the magnitude of the differential value exceeds a first threshold.

[0019] Using this method, the start of the prescribed action can be better judged based on the differential value. Therefore, the reaction time between issuing the instruction and starting the prescribed action can be accurately measured as the response time, and the neural reflex can be appropriately evaluated.

[0020] The terminal determines that the prescribed action has been completed when the magnitude of the differential value exceeds the first threshold and becomes less than a second threshold, and the second threshold is smaller than the first threshold. That is, the judging step may include determining that the prescribed action has been completed when the magnitude of the differential value exceeds the first threshold and becomes less than a second threshold (the second threshold is smaller than the first threshold).

[0021] Using this method, the completion of the prescribed action can be better judged based on the differential value. Therefore, the action completion time between issuing the instruction and completing the prescribed action can be accurately measured as the response time to appropriately evaluate the neural reflex.

[0022] The terminal issues the instruction when the differential value of the signal acquired from the sensor is smaller than a third threshold. That is, the instruction step includes issuing the instruction when the differential value of the signal acquired from the sensor is smaller than a third threshold.

[0023] In this way, when the seated person is almost still, an instruction to prompt the seated person to perform a prescribed action can be issued, so that the nerve reflex can be accurately measured.

[0024] In addition, the instruction issued by the terminal is an instruction randomly selected from a plurality of instructions. That is, the instruction step can issue an instruction randomly selected from a plurality of instructions.

[0025] In this way, the occupant can be instructed to perform different actions, thereby making the occupant aware of his or her neurological reflexes to various actions.

[0026] In addition, the terminal issues the instruction and calculates the response time multiple times, notifies the seated person of the average value of the response time obtained multiple times, and / or notifies the seated person of the evaluation value evaluated based on the average value of the response time.

[0027] In this way, the issuance of instructions and calculation of response time can be performed multiple times, and the average value of the response time can be informed to the seated person, so that the seated person can know the average value of his or her neural reflexes.

[0028] In addition, the system includes a server capable of communicating with the terminal, wherein the attributes of the seated person are recorded in the terminal, the terminal sends the calculated response time and the attributes of the seated person to the server, and the server stores the attributes of the seated person and the response time.

[0029] Because the server records seatholder attributes and response times, the seatholder's response time can be compared with the response times of other seatholders with the same attributes.

[0030] On the other hand, a training chair is disclosed. The training chair includes a chair body, a sensor, a motion device for a user to exercise, and a controller. The sensor is disposed in the chair body and is configured to obtain the vital sign parameters of a user sitting on the chair body. The motion device is integral with the chair body or detachably disposed outside the chair body. The controller is connected to the sensor.

[0031] The controller obtains the vital sign parameters from the sensor and informs the user of relevant information about his / her exercise status based on the vital sign parameters.

[0032] With this configuration, the controller informs the user of the relevant exercise status based on the vital sign parameters obtained from the sensor, so the user who is training can understand the training status. Since the sensor for obtaining the user's vital sign parameters is set on the seat body, the user does not need to connect the sensor to the body. Therefore, the user can train in a relaxed state without having to mind the presence of the sensor. In addition, since there is no need to connect the sensor to the body, the user's concerns about hygiene conditions can be alleviated.

[0033] In the training chair as described above, the sensor includes a pressure sensor, and the controller may evaluate the user's posture during exercise by comparing the pressure value with a predetermined reference.

[0034] With this configuration, the user's posture during exercise can be evaluated by comparison with a predetermined reference and the user can be informed. Therefore, the user can train with a correct posture.

[0035] As a technical solution of a training chair, it includes a chair body, a sensor, a motion device for a user to exercise, and a controller. The sensor is arranged in the chair body and can obtain the physical parameters of the user sitting on the chair body. The motion device is integrated with the chair body or detachably arranged outside the chair body. The controller is connected to the sensor and is connected to the motion device which can control the load of the motion device.

[0036] The controller may obtain the vital sign parameters from the sensor and control the load of the exercise device based on the vital sign parameters.

[0037] With this configuration, the controller controls the load generated by the exercise device based on the physical parameters obtained from the sensor, and the user can perform effective training with an appropriate load. Since the sensor for obtaining the user's physical parameters is set on the seat body, the user does not need to connect the sensor to the body. Therefore, the user can train in a relaxed state without having to mind the presence of the sensor. In addition, since there is no need to connect the sensor to the body, the user's concerns about sanitary conditions can be alleviated.

[0038] Preferably, in the training chair as described above, when it is determined based on the physical sign parameters that the exercise load of the user is greater than a predetermined reference, the controller reduces the load of the exercise device.

[0039] Preferably, when it is determined based on the physical sign parameters that the user's exercise load is less than a predetermined reference, the controller increases the load of the exercise device.

[0040] In the training chair as described above, the vital sign parameter may include at least one of pressure, temperature, humidity, pulse and sweat from the user and the user's heart rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a schematic diagram of a seat system (first embodiment);

[0042] Figure 2 is a flowchart of the processing of the smartphone;

[0043] Figure 3 is a schematic diagram of the start screen;

[0044] Figure 4 This is an initial screen diagram for prompting seated users to adopt a reference posture.

[0045] Figure 5 is a screen diagram instructing to perform a double knee raise exercise;

[0046] Figure 6 is a screen diagram instructing to perform the left knee lift exercise;

[0047] Figure 7 is a screen diagram instructing to perform the right knee lift exercise;

[0048] Figure 8 (a) is a graph showing the change in pressure value caused by the seated person performing the knee-lifting exercise. Figure 8 (b) is a graph showing pressure difference values;

[0049] Fig. 9 (a) is a graph showing the change in pressure value caused by the seated person performing the left knee lifting exercise, Fig. 9(b) is a graph showing pressure difference values;

[0050] Fig.10 (a) is a graph showing the change in pressure value caused by the seated person performing the right knee lifting exercise, Fig.10 (b) is a graph showing the difference in pressure values;

[0051] Fig.11 It is a screen diagram of the results of nerve reflex measurement;

[0052] Fig.12 is a side view of the training chair (second embodiment);

[0053] Fig.13 is a perspective view of the seat body;

[0054] Fig.14 is a flow chart of an example of controller processing;

[0055] Fig.15 It is a screen diagram of pressure status and prompt information;

[0056] Fig.16 It is a perspective view of a modified example of the training seat. DETAILED DESCRIPTION

[0057] Next, the first embodiment will be described in detail with reference to appropriate drawings.

[0058] like Figure 1 As shown, the seat system 1 of this embodiment includes a seat S, a seat experience device EX, and a server SV.

[0059] The seat S includes a seat body S10 and pressure sensors 21 to 26. For example, the seat body S10 is a vehicle seat installed in a car or other vehicles, and includes a seat cushion S1, a seat back S2, and a headrest S3. The seat cushion S1 and the seat back S2 have covers, and a plurality of pressure sensors 21 to 26 are provided under the covers. The pressure sensors 21 to 26 are sensors for detecting the motion of a seated person sitting on the seat body S10.

[0060] The pressure sensors 21 to 26 can detect the state of the surface on which the occupant sits when the occupant sits on the seat body S10, and obtain the pressure value generated by the occupant sitting on the seat body S10. The ECU (electronic control unit) 100 is a device that controls the state of the seat body S10 (for example, controls the motor or heater of the electric reclining device, etc., not shown in the figure), and is connected to the pressure sensors 21 to 26, so that the measurement values ​​can be obtained from the pressure sensors 21 to 26.

[0061] The pressure sensors 21 to 26 are arranged in pairs, that is, on the left and right sides, and are arranged symmetrically with respect to the center line of the seat S. In the following description and schematic diagrams, the pressure sensors 21 to 26 located on the left side are designated by appending a character "L", and the pressure sensors 21 to 26 located on the right side are designated by appending a character "R", so as to distinguish them.

[0062] In the seat cushion S1 , pressure sensors 21 to 23 are provided.

[0063] The pressure sensor 21 is arranged at a position corresponding to the lowest part of the ischium of the seated person. At this position, the load borne by the seated person is the greatest.

[0064] The pressure sensor 22 is located slightly in front of the pressure sensor 21 .

[0065] The pressure sensor 21 and the pressure sensor 22 both measure the pressure from the seated person's buttocks, but only one of them may be provided as the pressure sensor.

[0066] The pressure sensor 23 is located in front of the pressure sensor 21 and the pressure sensor 22 and away from the pressure sensor 21 and the pressure sensor 22. The pressure sensor 23 is located under the thigh of the seated person and can measure the pressure value of the thigh of the seated person.

[0067] In the seat back S2, there are provided pressure sensors 24 to 26. The pressure sensor 24 is provided at a position corresponding to the rear of the waist of the seated person.

[0068] The position of the pressure sensor 25 is slightly higher than that of the pressure sensor 24 .

[0069] The pressure sensor 24 and the pressure sensor 25 measure the pressure of the seated person's waist, but only one of them may be provided as the pressure sensor.

[0070] The pressure sensor 26 is located above the pressure sensor 24 and the pressure sensor 25 and away from the pressure sensor 24 and the pressure sensor 25. The pressure sensor 26 is located at a position corresponding to the shoulder of the seated person and can measure the pressure value generated at the shoulder of the seated person.

[0071] In this embodiment, the seat system 1 can provide a game for measuring nerve reflexes using the pressure sensors 21 to 26. In this embodiment, the pressure sensors 21 to 26 are an example of sensors, and the obtained measurement values ​​are used to detect the movements of the seated person sitting on the seat body S10. The game for measuring nerve reflexes is a game that allows the seated person sitting on the seat body S10 to measure nerve reflexes according to the character posture displayed on the display DSP of the smartphone SP or follow the instruction information.

[0072] The seat body S10 is equipped with a holder 4 for fixing the smartphone SP. The holder 4 is formed by a bent cable, one end of which is fixed to the seat back S2, and the other end fixes the smartphone SP to its fixing portion 4A. When the smartphone SP is fixed to the fixing portion 4A, the seated person can see the smartphone SP display DSP without holding the smartphone SP with his hands. Therefore, the seated person can move his whole body according to the actions instructed in the neuroreflex measurement game while watching the display.

[0073] The seat experience device EX includes an ECU 100 and a smartphone SP as an example of a terminal.

[0074] A near field communication device 3A is connected to the ECU 100 , which implements 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 .

[0075] ECU100, smartphone SP and server SV each include a CPU, ROM, RAM, rewritable non-volatile memory, etc., which are not shown in the figure. The CPU loads the application program pre-stored in the storage medium (ROM, rewritable non-volatile memory, etc.) into the RAM and executes it. The smartphone SP also includes a display DSP. The smartphone SP runs according to the program, and each step of the neuroreflex measurement game is executed in the smartphone.

[0076] More specifically, the smartphone SP acquires measurement values ​​from the respective pressure sensors 21 to 26 via the near field communication device 3A and the ECU 100 and executes the nerve reflex measurement game based on the acquired measurement values. In addition, the smartphone SP can communicate with the server SV through the Internet.

[0077] The smartphone SP has the function of prompting the seated person to perform a prescribed action during the neuroreflex measurement game. More specifically, the smartphone SP can randomly select an instruction from a plurality of instructions and prompt the seated person to perform a prescribed action.

[0078] In this embodiment, the smartphone SP prompts the seated person to perform a prescribed action, such as Figure 5 The first instruction for performing the double knee lift action is shown in FIG. Figure 6 The second instruction for performing the left knee lift action is shown in FIG. Figure 7 The third instruction for performing the right knee lift is shown, and the three instructions are randomly selected using random numbers. Here, Figure 6 and Figure 7The characters for raising the left knee or right knee displayed in each screen are mirror images relative to the seated person so that the seated person can understand them easily. In addition to the images displayed on the display DSP, each instruction can also be output as a voice from the speaker of the smartphone SP.

[0079] The smartphone SP has the following function: after issuing a command, it obtains a measurement value (pressure) from the pressure sensor corresponding to the command, and judges whether the seated person has performed a prescribed action based on the change in the measurement value. More specifically, if the selected command is the first command, the smartphone SP obtains a measurement value from the pressure sensor 21L under the seated person's buttocks.

[0080] If the selected instruction is the second instruction, the smartphone SP acquires a measurement value from the pressure sensor 23L under the seated person's left thigh. If the selected instruction is the third instruction, the smartphone SP acquires a measurement value from the pressure sensor 23R under the seated person's right thigh.

[0081] When the seated person raises both knees in response to the first instruction, the pressure sensor 21L obtains the following information: Figure 8 The smartphone SP calculates the following from the measured values ​​acquired by the pressure sensor 21L: Figure 8 The differential value shown in (b) is compared with the third threshold value TH3 and the threshold value TH11 to determine when the first instruction is issued and whether the seated person has made a prescribed action.

[0082] More specifically, when the smartphone SP issues an instruction (first instruction) when the differential value of the measurement value obtained from the pressure sensor 21L is less than the third threshold value TH3, the seated person is prompted to perform a prescribed action (at time t1). In order to accurately evaluate the seated person's nerve reflex in this operation, it is expected that the seated person remains still before starting the prescribed action. Therefore, the third threshold value TH3 may be a value close to zero, and when the differential value becomes less than the third threshold value TH3, a randomly selected instruction is issued after a time period determined based on a random number has passed, so that the seated person's nerve reflex can be accurately evaluated.

[0083] After issuing the instruction, the smartphone SP determines that the prescribed action has started when the differential value exceeds the threshold value TH11 (at time t2). The smartphone SP determines that the prescribed action has been completed when the differential value exceeds the threshold value TH11 and then becomes smaller than the threshold value TH11 (at time t3).

[0084] Here, the threshold value TH11 corresponds to the first threshold value and the second threshold value. That is, in this embodiment, the first threshold value and the second threshold value are the same value (threshold value TH11).

[0085] The smartphone SP has a function of calculating a response time T1 which elapses between issuing a command and performing a predetermined action.

[0086] In this embodiment, the response time T1 includes a reaction time T11 between issuing an instruction for a prescribed action and starting the prescribed action, and an action completion time T13 between issuing an instruction for a prescribed action and completing the prescribed action. In addition, in this embodiment, the smartphone SP calculates an action time T12 between starting the prescribed action and completing the prescribed action in addition to the reaction time T11 and the action completion time T13.

[0087] When the seated person performs the left knee lifting action according to the second instruction, the pressure sensor 23L obtains the following information: Fig. 9 The smartphone SP calculates the following based on the measured value obtained from the pressure sensor 23L: Fig. 9 The differential value shown in (b) is compared with the threshold values ​​TH3 and TH12 to determine when the second instruction is issued and whether the seated occupant has performed a prescribed action.

[0088] The method of determining when to issue the second instruction based on the third threshold TH3 is similar to the method of determining when to issue the first instruction.

[0089] Threshold TH12 corresponds to the first threshold and the second threshold. Threshold TH12 is a threshold related to the differential value of the measurement value obtained when the left knee is raised, and its value is different from the threshold H11 used in the double knee lifting action. Fig. 9 In (b), although the threshold value TH12 is drawn in the negative region, the value of TH12 is a positive value.

[0090] After issuing the instruction (at time t11), the smartphone SP determines that the prescribed action has started (at time t12) when the differential value is negative and the magnitude of the differential value exceeds the threshold value TH12. The smartphone SP determines that the prescribed action has been completed (at time t13) when the magnitude of the differential value exceeds the threshold value TH12 and then becomes smaller than the threshold value TH12.

[0091] The calculation method of the reaction time T11, the action time T12 and the action completion time T13 is similar to the calculation method of the above-mentioned double knee raising movement.

[0092] When the seated person performs the right knee lifting action in response to the third instruction, the pressure sensor 23R obtains the following information: Fig.10 The smartphone SP calculates the measured value obtained from the pressure sensor 23R as follows: Fig.10The differential value shown in (b) is compared with the threshold values ​​TH3 and TH13 to determine when the third instruction is issued and whether the seated occupant has performed a prescribed action.

[0093] The threshold TH13 here corresponds to the first threshold and the second threshold. In this embodiment, the threshold TH13 adopts the same value as the threshold TH12 described above. In addition, the method of determining when to issue the third instruction (time t21), the method of determining that the prescribed action has started (time t22), the method of determining that the prescribed action has been completed (time t23), and the calculation method of each time T11 to T13 are the same as when the second instruction is issued.

[0094] The smartphone SP has a function of executing multiple times, which includes repeatedly issuing instructions to perform a prescribed action and calculating each time from T11 to T13, notifying the seated person of the average value of each time from T11 to T13 obtained in the multiple executions, and notifying the seated person of a value evaluated based on the average value of each time from T11 to T13 (hereinafter referred to as "evaluation value"). The smartphone SP also has a function of obtaining the best time from T11 to T13, and notifying the seated person of the evaluation value determined based on the best time. More specifically, as Fig.11 As shown, the smartphone SP displays the best times and average times and evaluation values ​​of T11 to T13 on the display DSP and notifies the seated person.

[0095] The smartphone SP determines the evaluation value by comparing the calculated reaction time T11 with the stored reference reaction time T21. Specifically, the smartphone SP calculates the average reaction time T11, and compares the average reaction time T11 with the reference reaction time T21 to determine the evaluation value corresponding to the average reaction time T11. In addition, the smartphone SP compares the best time of the calculated reaction time T11 with the reference reaction time T21 to determine the evaluation value corresponding to the best time of the reaction time T11. Furthermore, the reference reaction time T21 compared with the average value and the reference reaction time T21 compared with the best time may be the same value or different values ​​from each other.

[0096] More specifically, the shorter the calculated reaction time T11 (average, best time) is than the reference reaction time T21 (average, best time), the higher the evaluation value given by the smartphone SP, and the longer it is, the lower the evaluation value. In this embodiment, the evaluation values ​​are exemplified by three levels of evaluation values: high, normal, and low. The evaluation values ​​are marked in descending order as: "Excellent", "Good", and "Bad".

[0097] When T11-T21<-α1, the smartphone SP selects "Excellent" as the evaluation value; when -α1≤T11-T21≤α2, it selects "Good" as the evaluation value; when T11-T21>α2, it selects "Bad" as the evaluation value. Here, α1 and α2 are positive values.

[0098] Furthermore, the smartphone SP compares the action time T12 and the action completion time T13 with the reference action time T22 and the reference action completion time T23 respectively in the same manner as the reaction time T11 to determine evaluation values.

[0099] The smartphone SP has a function of recording seated person attributes such as gender, age, etc., and has a function of transmitting the calculated respective T11 to T13 times and seated person attributes to the server SV. The server SV has a function of saving the seated person attributes and the respective T11 to T13 times.

[0100] The operation of the smartphone SP (particularly, the processing section in the smartphone SP) will be described in detail below.

[0101] When the seated person starts the neuroreflex measurement game application, the smartphone SP Figure 2 The process is started as shown (START). In the process, first, the smartphone SP determines whether it is communicable with the seat S (S11).

[0102] If it is determined that communication is not possible (No) in step S11, the smartphone SP ends the process. If it is determined that communication is possible (Yes) in step S11, the smartphone SP displays the start screen of the neuroreflex measurement game on the display DSP (see Figure 3 )(S12).

[0103] exist Figure 3 In the start screen shown, a start button B1 for starting the neuroreflex measurement game and an end button B2 for ending the neuroreflex measurement game are displayed.

[0104] After step S12, the smartphone SP determines whether the user has selected the start button B1 (S13). If it is determined in step S13 that the start button B1 has not been selected (No), the smartphone SP determines whether the user has selected the end button B2 (S14).

[0105] If the smartphone SP determines in step S14 that the end button B2 is not selected by the user (No), the process returns to step S12. If the smartphone SP determines in step S14 that the end button B2 is selected (Yes), the smartphone SP ends the process.

[0106] If it is determined in step S13 that the start button B1 is selected (Yes), the smartphone SP displays Figure 4 The initial screen (S15) shown in the figure. In the initial screen, the reference posture initially taken by the seated person is indicated by a screen composed of a seat and a character and prompt information. Specifically, in the initial screen, the character with the body sitting deeply in the seat is highlighted with a bright color, and the content "Please sit inward on the seat and lean your back against the back of the seat" is displayed. This display allows the seated person to take the reference posture with the body sitting deeply in the seat.

[0107] In addition, in the initial screen, three images and three annotations are used to show the actions that the seated person will perform based on the reference posture, and these images and annotations are displayed in thinner lines or light gray to make them less obvious. Specifically, in the initial screen, a character performing the left knee raising action is displayed, and a annotation is displayed, which reads "Raise left knee".

[0108] Similarly, the initial screen displays the characters and labels for the double knee raise action and the right knee raise action. The initial screen also displays a message to remind the seated person to prepare for the action, which reads "After the sitting posture is stable, one of the postures will be displayed. Please focus on the screen."

[0109] The three images corresponding to each action are arranged in the left-right direction below the image of the reference posture. The image of the double knee raise action is arranged in the middle of the three images. The image corresponding to the double knee raise action is on the left side of the image corresponding to the double knee raise action. The image corresponding to the right side of the image corresponding to the double knee raise action is on the right side of the image corresponding to the double knee raise action.

[0110] return Figure 2 After the initial screen is displayed in step S15, the smartphone SP randomly selects a prescribed action instruction to be performed (S16). Specifically, the smartphone SP randomly selects an instruction from the first instruction of the double knee raising action, the second instruction of the left knee raising action, and the third instruction of the right knee raising action.

[0111] After step S16, the smartphone SP sets a threshold value corresponding to the selected instruction as a threshold value for determining the prescribed action (S17). Specifically, for example, if the first instruction is selected as the instruction for the prescribed action, the smartphone SP sets the threshold value TH11 in step S17 (see Figure 8 (b)).

[0112] After step S17, the smartphone SP acquires the measurement value from the pressure sensor corresponding to the instruction (S18). Specifically, for example, when the smartphone SP selects the first instruction as the instruction for the prescribed action, the smartphone SP acquires the measurement value from the pressure sensor 21L corresponding to the buttocks in step S18. And, step S18 corresponds to an acquisition step.

[0113] After step S18, the smartphone SP starts calculating the differential value of the acquired measurement value (S19). After step S19, the smartphone SP determines whether the differential value is smaller than a third threshold value TH3 (S20).

[0114] If the differential value is less than the third threshold value TH3 (Yes) in step S20, the smartphone SP determines that the seated person is in the reference posture of keeping still, and then issues the selected instruction after a time period determined based on the random number (S21). The above steps S20 and S21 correspond to instruction steps.

[0115] Specifically, in step S21, an instruction is issued, and the smart phone SP displays a screen corresponding to the instruction on the display DSP ( Figures 5 to 7 ).like Figure 5 As shown, the screen corresponding to the first instruction prominently displays the character and annotation information corresponding to the double knees raising action, so as to be more clearly displayed by contrasting with other images through color, line thickness, etc. Figure 6 As shown, the screen corresponding to the second instruction highlights the character and annotation information corresponding to the left knee raising action so as to be more clearly displayed by contrasting with other images through color, line thickness, etc. Figure 7 As shown, the screen corresponding to the third instruction highlights the character and annotation information corresponding to the right knee raising action so that it is displayed more clearly in contrast with other images through color, line thickness, etc.

[0116] return Figure 2 After step S21, the smartphone SP determines whether the differential value has exceeded the first threshold value, thereby determining whether the seated person has started the prescribed action (S22). Specifically, for example, when the selected instruction is the first instruction, the smartphone SP determines whether the differential value has exceeded the threshold value TH11 corresponding to the first instruction.

[0117] If it is determined in step S22 that the differential value has exceeded the first threshold value (Yes), the smartphone SP calculates the reaction time T11 between issuing the instruction and starting the prescribed action (S23). After step S23, the smartphone SP determines whether the differential value has become smaller than the second threshold value, thereby determining whether the prescribed action performed by the seated person has been completed (S24).

[0118] Specifically, for example, when the selected command is the first command, the smartphone SP determines whether the differential value is smaller than the threshold value TH11 of the corresponding first command. The above steps S22 and S24 correspond to the determination step.

[0119] If it is determined in step S24 that the differential value has become less than the second threshold value (Yes), the smartphone SP calculates the action time T12 from the start to the completion of the prescribed action, and calculates the action completion time T13 between the issuance of the instruction to perform the prescribed action and the completion of the prescribed action (S25). In addition, the action time T12 and the action completion time T13 can be calculated either first. Specifically, the action time T12 can be calculated first, and the action completion time T13 can be calculated by adding the action time T12 to the reaction time T11. Alternatively, the action completion time T13 can be calculated first, and the action time T12 can be calculated by subtracting the reaction time T11 from the action completion time T13.

[0120] After step S25, the smartphone SP determines whether the instruction to perform the prescribed action has been issued according to the specified number of times (S26). Here, the specified number of times can be set arbitrarily. In this embodiment, the specified number of times is 6.

[0121] If it is determined in step S26 that the instruction has not been issued for the specified number of times (No), the smartphone SP returns to the processing step S15. If it is determined in step S26 that the instruction has been issued for the specified number of times (Yes), the smartphone SP displays the best time and average value of each time from T11 to T13 associated with the first instruction, the best time and average value of each time from T11 to T13 associated with the second instruction, and the best time and average value of each time from T11 to T13 associated with the third instruction, and notifies the seated person on the display DSP (S27: see Fig.11 ). In addition, in step S27, the smartphone SP displays the evaluation value corresponding to each instruction on the display DSP to inform the seated person (see Fig.11 ). Here, step S27 corresponds to a notification step.

[0122] After step S27, the smartphone SP transmits the calculated time from T11 to T13 of each instruction together with the attributes of the seated person to the server SV, and ends the process.

[0123] Next, a detailed description will be given of one example of a specific operation of the seat system 1 .

[0124] like Figure 1As shown, when each component (S, SP) constituting the seat system 1 is in a communicative state, when the seated person operates the smartphone SP and starts the nerve reflex measurement application, Figure 2 In the process shown, the processes from step S11: Yes to step S12 are executed sequentially. Figure 3 The startup screen shown is displayed on the display DSP.

[0125] If the seated person selects the start button B1, the processing of steps S13: Yes to S15 is executed in sequence. Figure 4 Under the guidance of the initial screen, the seated person leans his back against the backrest, sits back in the seat S and maintains a reference posture, and waits for instructions while maintaining this posture.

[0126] When the seated person waits for the instruction, the smartphone SP first randomly selects one instruction from the three instructions (S16). Here, the instruction initially selected is, for example, the second instruction.

[0127] After selecting the second instruction, the smartphone SP sequentially executes processing steps S17 to S19 to set a threshold value TH12 corresponding to the second instruction (see Fig. 9 (b)), obtain the measurement value (left thigh) from the pressure sensor 23L corresponding to the second instruction, and calculate the differential value of the measurement value. If the seated person maintains the reference posture when the smartphone SP executes the processing step S20, such as Fig. 9 As shown in (b), the differential value is smaller than the third threshold value TH3 (at time t11), so the smartphone SP makes an affirmative determination (Yes) in step S20 and issues the selected second instruction (S21, at time t11).

[0128] Therefore, the display on the display DSP switches from the initial screen to Figure 6 As shown in the picture, the seated people follow Figure 6 During this action, the pressure sensor 23L on the left thigh measures the following: Fig. 9 (a) shows the change, the differential value of the measured value is as follows Fig. 9 (b) The changes shown.

[0129] If the smartphone SP determines that the differential value is negative and the magnitude of the differential value exceeds the threshold value TH12 (S22: Yes), the smartphone SP calculates the reaction time T11 of the left knee raising action (S23). Thereafter, if the smartphone SP determines that the magnitude of the differential value is less than the threshold value TH12 (S24: Yes), the smartphone SP calculates the action time T12 and the action completion time T13 of the left knee raising action (S25).

[0130] Then, the smartphone SP determines in step S26 that the number of times the instruction has been issued has not reached the specified number (6 times) (No), and the process returns to step S15. Therefore, the display DSP displays the command again. Figure 6 The screen of the screen returns to the initial screen. In this way, the seated person adopts the reference posture again according to the initial screen and waits for the next instruction.

[0131] Thereafter, for example, the first instruction, the third instruction, the third instruction, the second instruction, and the first instruction are selected in order, and steps S15 to S26 are repeated 5 times. Then, the smartphone SP judges as Yes in step S26 and displays the following on the display DSP: Fig.11 Therefore, the seated person can be informed of the best time and average value of each T11 to T13 time of the left knee raising action, the double knee raising action, and the right knee raising action. In addition, the seated person can be informed of the evaluation value of each action.

[0132] The seat system 1 in this embodiment can achieve the following beneficial effects.

[0133] When the seated person sitting on the seat S performs a prescribed action according to the instruction from the smartphone SP, the smartphone SP notifies the seated person of the response time T1 etc. which elapsed between the instruction and the prescribed action based on the measurement value obtained from the pressure sensor. Therefore, the seated person sitting on the seat can understand his or her own neural reflexes.

[0134] Since the response time T1 includes both the reaction time T11 and the action completion time T13 , the nerve reflex of the seated person can be fully measured.

[0135] Since the smartphone SP compares the calculated response time T11 with the stored reference response time T21 to determine the evaluation value, the seated person can understand the level of his or her neuroreflex ability from the evaluation value.

[0136] Since the motion of the seated occupant is judged based on the pressure value obtained from the pressure sensor, more specifically, the differential value, the motion of the seated occupant can be well evaluated.

[0137] Since the command is issued under the condition that the differential value has become smaller than the third threshold value TH3, the neural reflex can be accurately measured when the seated person issues a command for a prescribed action in a stationary reference posture state.

[0138] Since different actions are randomly selected to instruct the seated person, the seated person can know his / her neural reflexes for various actions. In addition, the seated person can also know the actions he / she is good at and the actions he / she is not good at.

[0139] Since issuing instructions and calculating the time from T11 to T13 are performed multiple times, the average value of each time from T11 to T13 can be notified to the seated occupant, so that the seated occupant can know the average value of his or her nerve reflex.

[0140] Since the attributes and response times (times T11 to T13) of the seated occupants are stored in the server SV, the response times of other seated occupants having the same attributes can be compared with the response time of the seated occupant.

[0141] Although the first embodiment has been described above, it should be understood that this embodiment is an illustrative, non-restrictive embodiment and can be modified as appropriate for practical applications, as described in other embodiments to be described below. In the following description, the same symbols will be used to designate the configurations that are substantially the same as those of the first embodiment, and description thereof will be omitted.

[0142] In the above-described embodiment, both the response time and the evaluation value are notified to the seated occupant, however, only the response time may be notified to the seated occupant, or only the evaluation value may be notified to the seated occupant.

[0143] In the above-described embodiment, the response time is generated based on both the reaction time T11 and the action completion time T13 , however, the response time may be one of the reaction time and the action completion time.

[0144] In the above embodiment, the first threshold and the second threshold have the same value, however, the first threshold and the second threshold may also have different values. For example, the second threshold may be smaller than the first threshold. Although the first threshold and the second threshold are set to different values ​​corresponding to each instruction, the first threshold and the second threshold of the second instruction may be the same as the first threshold and the second threshold of the third instruction.

[0145] In the above embodiment, the pressure sensor corresponding to the first instruction is one pressure sensor 21L located below the seated person's buttocks, but it may be four pressure sensors 21L, 21R, 22L, 22R located below the seated person's buttocks. In this case, the smartphone SP may be set to issue the first instruction under the condition that, for example, the differential value of all four pressure values, or the average value thereof is less than the third threshold value TH3. Alternatively, the smartphone SP may be set to determine that the seated person has started the prescribed action if one of the four differential values ​​has exceeded the threshold value TH11 corresponding to the first instruction. In addition, if the smartphone SP determines that the prescribed action has started and all four differential values ​​are less than the threshold value TH11 corresponding to the first instruction, it can be determined that the prescribed action has been completed.

[0146] In the above embodiment, the seat S is a vehicle seat, but the seat may be a seat installed in a facility such as a hospital, etc. When the seat S is arranged in a hospital, the seat S can be used for rehabilitation of a patient, so that the seat S can be effectively utilized.

[0147] Specifically, a physical therapist who provides rehabilitation advice to a patient can quantitatively check the patient's neural reflexes on the seat S on the display DSP of the smartphone SP. Therefore, individual differences between physical therapists can be eliminated. In addition, the physical therapist can check the seat occupant's recovery level on the display screen based on the seat occupant's neural reflexes measured on the seat. In addition, Fig.11 As shown, the digital representation of the response time corresponding to each action, etc., allows the physical therapist to check whether the seated person has performed the correct actions.

[0148] The smartphone SP can also be set to issue a warning notification to the seated person when the nerve reflexes are worse than usual. Fig.11 As shown, when the best time recorded for the right knee lifting action is far worse than the normal best time (for example, the average best time of the past dozens of trials), the smartphone SP will send a warning message to the seated person, "The reaction speed of the right foot is abnormally slow, it is recommended to go to the hospital for examination."

[0149] Additionally, smartphones can be set up to provide suggestions for corrective exercises, advertisements, hospitals, lifestyle changes, etc.

[0150] In addition, the smartphone SP can also display a target for response time on the screen, and once the target is reached, the seat occupant can receive bonus points. The bonus points can be used for shopping, etc. The smartphone SP can also be set to provide information that suits the user's personal preferences if a certain amount of points are accumulated.

[0151] In addition, the neuroreflex measurement game can be used to test the driving ability of elderly drivers, or to test whether they can drive before driving.

[0152] In addition, the deviation of each action can be automatically determined. For example, in the right knee raising action, if the differential value after a predetermined period of time from the issuance of the right knee raising action instruction does not exceed the first threshold, different messages such as "Please raise your right knee a little higher" and "Please raise your right knee higher" are issued according to the difference between the differential value and the first threshold to report an error.

[0153] The index of each attribute can be set according to the response time of each attribute stored in the server SV.

[0154] In the above embodiment, the pressure sensor is used to detect the pressure applied to a part (a point) of the surface of the seat S. The pressure sensor may also be a distributed sensor distributed over the entire surface of the seat to detect the pressure applied to the entire surface of the seat S. Therefore, the smartphone SP can determine whether the seated person has made the correct action based on the pressure distribution. Alternatively, the pressure sensor in the above embodiment may be provided on the basis of providing the pressure distribution sensor.

[0155] The sensor may not be limited to a pressure sensor, but may also be an optical sensor, a sound detection sensor, a position detection sensor, a capacitive sensor, etc. When an optical sensor or a capacitive sensor is used, the prescribed action may be placing a hand at a position detected by the sensor, or removing the hand from the position. When a sound detection sensor is used, the prescribed action may be a sound made by the seated person.

[0156] The action test can be based not only on differential values ​​but also on pressure values.

[0157] In the above embodiment, the smartphone SP is used as an example of a terminal, but the terminal may be a mobile terminal other than the smartphone SP, such as a tablet computer. The terminal may be a terminal fixed to a seat, or a built-in terminal integrally mounted on the seat. The terminal may also be a terminal as a component of a car navigation system.

[0158] The various parts described in the above exemplary embodiments and modified examples may be arbitrarily combined as needed.

[0159] The second embodiment will be described in detail below with reference to appropriate drawings.

[0160] like Fig.12 As shown, the training chair 1A of the present embodiment includes a chair body S10 , an exercise device 10 detachably disposed outside the chair body S10 for a user P to exercise, and a controller 30 .

[0161] The training in this specification includes weight-bearing training for healthy persons to increase their muscle strength, and rehabilitation training for disabled persons who have lost their abilities due to illness, accident or similar circumstances in order to restore their physical abilities.

[0162] like Fig.13 As shown, the seat body S10 includes a seat bottom S1, a seat back S2 and a headrest S3. The headrest S3 may not be included, or may be integrated with the seat back S2.

[0163] The seat cushion S1, seat back S2 and headrest S3 are composed of a frame (not shown) containing a pad made of polyurethane foam or similar material and further covered with a cover made of fabric, leather, synthetic leather or similar material.

[0164] The seat cushion S1 and the seat back S2 are provided with pressure sensors PS (PS1 to PS12) as examples of sensors, which can acquire the vital sign parameters of the user sitting on the seat body S10. The pressure sensors PS are located between the cover and the pad.

[0165] For example, six pressure sensors PS are provided in the seat bottom S1 and the seat back S2. Specifically, the seat back S2 includes a pressure sensor PS1 corresponding to the right shoulder, a pressure sensor PS2 corresponding to the right back, and a pressure sensor PS3 corresponding to the right waist. The pressure sensors PS1, PS2, and PS3 are arranged from top to bottom. The seat back S2 also includes pressure sensors PS4, PS5, and PS6 that are symmetrical with the pressure sensors PS1, PS2, and PS3.

[0166] On the other hand, the seat cushion S1 includes a pressure sensor PS7 corresponding to the right buttocks, and pressure sensors PS8 and PS9 corresponding to the right thighs. The pressure sensors PS7, PS8, and PS9 are arranged from the back to the front. The seat cushion S1 also includes pressure sensors PS10, PS11, and PS12 that are symmetrical with the pressure sensors PS7, PS8, and PS9.

[0167] return Fig.12 The exercise device 10 is, for example, a butterfly machine mainly used to strengthen the pectoralis major muscle. The exercise device 10 includes a frame 11, a movable part 12, a rope 13, a counterweight 14 and a load generator 31. The seat body S10 is fixed to the front part of the frame 11.

[0168] The movable part 12 is provided at the upper part of the frame 11 so as to be rotatable about a vertical axis. Two movable parts 12, one on the left side and the other on the right side, are positioned so that the user P can exercise his left and right upper arms by opening and closing the movable parts 12 with his upper arms. Each movable part 12 has a pulley 15A for winding the rope 13, and when the movable part 12 rotates, the pulley 15A rotates accordingly.

[0169] One end of the rope 13 is connected to the pulley 15A, and the other end is fixed to the counterweight 14 and the load generator 31 .

[0170] Specifically, at the frame 11, a pulley 15B is provided behind the pulley 15A. The rope 13 is wound around the pulley 15A, passes through the pulley 15B, and changes its direction through the pulley 15B to face downward. The vertically extending portion of the rope 13 passes through the counterweight 14, and the rope 13 and the counterweight 14 are fixed together by the fixing portion 14A.

[0171] The load generator 31 is made of, for example, a motor, and has a pulley 21A at a portion corresponding to an output shaft of the motor. One end of the rope 13 is fixed to the pulley 21A.

[0172] The bracket 19 is connected to the front end of the upper portion of the frame 11 , and the display DSP is fixed to the bracket 19 .

[0173] The training chair 1A includes a switch (not shown) that can activate the controller 30 at a suitable location (eg, near the display DSP).

[0174] The controller 30 is connected to each pressure sensor PS. The controller 30 is also connected to the load generator 31 of the exercise device 10 to control the load of the exercise device 10. In addition, the controller 30 is connected to the display DSP so that the exercise status, advice, etc. can be sent to the user P.

[0175] The controller 30 includes a CPU, a ROM, a RAM, and the like, and can execute a program stored in advance in a storage medium (ROM, etc.) by the CPU to perform various processes.

[0176] The controller 30 acquires the vital sign parameters from the pressure sensor PS, and provides the user P with information related to the user's motion state based on the vital sign parameters.

[0177] Specifically, the controller 30 can obtain a heartbeat signal as one of the vital sign parameters from the pressure sensor PS, especially the pressure sensors PS2 and PS5 corresponding to the back of the user P, by detecting pressure changes.

[0178] The controller 30 controls the exercise load of the user P during training based on the heart rate N. For example, if the controller 30 determines that the exercise load of the user P is less than the reference value N1 based on the heart rate N, the controller 30 increases the load of the exercise device 10. Correspondingly, if the controller 30 determines that the exercise load of the user P is greater than the reference value N2 based on the heart rate N, the controller 30 reduces the load of the exercise device 10. The reference value N2 is a value greater than the reference value N1. The load of the exercise can be adjusted by the load generator 31. The load generator 31 has the same structure as the motor, like a regenerative brake, so that when the rope 13 is released from the pulley 21A, a resistance can be generated.

[0179] When training starts, the controller 30 controls the load generator 31 to generate a load. Thus, from the start of training, the user P trains under a load that is the load of the weight 14 plus the load generated by the load generator 31.

[0180] In addition, the controller 30 outputs the pressure value acquired by the pressure sensor PS as the motion state of the user P to the display DSP in the form of a visual image. At this time, the high and low pressure value areas are distinguished by color or color saturation (or brightness).

[0181] The controller 30 evaluates the exercise posture of the user P by comparing the pressure value with a predetermined reference. For example, the distribution of the pressure values ​​P1 to P12 obtained by the pressure sensors PS1 to PS12 can be compared with the distribution of the pressure values ​​corresponding to the ideal posture in the butterfly machine training to evaluate the exercise posture.

[0182] An example will be described in detail. First, considering that the pressure values ​​P1 to P12 vary with the weight of the user P, the pressure values ​​P1 to P12 are normalized so that the total becomes a predetermined value.

[0183] Thus, the deviation M between the distribution of the normalized pressure values ​​P1 to P12 and the distribution of the ideal pressure values ​​L1 to L12 is calculated. For example, the deviation M can be calculated in the following way:

[0184] M=(P1-L1)2+(P2-L2)2+…+(P12-L12)2

[0185] If the deviation M is greater than the threshold Mth, the controller 30 displays a bad posture on the display DSP and uses a prompt message to explain the bad area. The bad area can be determined based on the size of each item of the calculated deviation M (e.g., (P1-L1)2, etc.).

[0186] Below, refer to Fig.14 The processing executed by the controller 30 will be described.

[0187] like Fig.14 As shown in FIG. 1 , when the user P turns on the switch to start training, the controller 30 first obtains the pressure values ​​P1 to P12 (S101) from the pressure sensors PS1 to PS12. Then, the controller 30 calculates the heart rate N (S102) based on the pressure changes obtained from the pressure sensors PS1 to PS12. Then, the controller 30 displays the pressure value image on the display DSP (S103). For example, Fig.15 As shown, an image of the seat body S10 is output on the display DSP, wherein a square having a color is displayed at a position corresponding to the pressure sensor PS, and the saturation of the color changes with the size of the pressure value.

[0188] Although in Fig.14 It is not shown, but the controller 30 controls the load generator 31 according to the set load value during training.

[0189] Next, the controller 30 determines whether the heart rate N is lower than the reference value N1 (S110). If it is lower than the reference value N1 (S110, Yes), the controller 30 increases the load value of the load generator 31 (S111). If the heart rate N is not lower than the reference value N1, the controller 30 does not increase the load value (S110, No).

[0190] Next, the controller 30 determines whether the heart rate N is higher than the reference value N2 (S120), and if so, reduces the load value of the load generator 31 (S121). If the heart rate N is not higher than the reference value N2, the controller 30 does not reduce the load value (S120, No).

[0191] Next, the controller 30 normalizes the pressure values ​​P1 to P12 (S130). Thus, the deviation M of the pressure distribution is calculated (S131), and it is determined whether the deviation M is greater than the threshold Mth (S140). If it is determined that the deviation M is greater than the threshold Mth (S140, Yes), the controller 30 displays a prompt message on the display DSP (S141). For example, Fig.15 In the image of the seat body S10 shown, when the distribution of the pressure value is uneven, that is, when the pressure on the right side of the body is too strong, messages such as "The body posture is tilted to the right." and "Please straighten your upper body!" may be displayed.

[0192] After displaying the message MSG, or when determining that the deviation amount M is not greater than the threshold value Mth (S140, No), the controller 30 determines in step S150 whether the training has been completed (S150). If it is determined that the training has not been completed (S150, No), the processing starting from step S101 is repeated. If it is determined that the training has been completed (S150, Yes), the processing is terminated.

[0193] With the training chair 1A as described above, the following advantageous effects can be achieved.

[0194] Based on the vital sign parameters obtained from the pressure sensor PS, the controller 30 uses this as relevant information of the motion state, displays the distribution of the pressure values ​​in a visual form on the display DSP, and notifies the user P, so that the user P who is training can know the motion state.

[0195] Since the controller 30 controls the load of the exercise device 10 based on the physical sign parameters acquired by the pressure sensor PS, the user P can perform effective training with an appropriate load.

[0196] Since the pressure sensor for obtaining the user's physical parameters is provided in the seat body S10, the user P does not need to connect the sensor to the body. Therefore, the user P can train in a relaxed state without worrying about the sensor. Since there is no need to connect the sensor to the body, the user's concerns about hygiene can be avoided.

[0197] The controller 30 evaluates the exercise posture of the user P by comparing with a value (threshold value Mth) serving as a predetermined standard, and notifies the user P through a message MSG on the display DSP, so that the user P can try to adopt a suitable posture for training.

[0198] Although the second embodiment has been described above, it should be understood that this embodiment is an illustrative, non-restrictive example of an embodiment and can be modified according to actual applications, such as other embodiments described below. In the following description, for the configurations that are substantially the same as those of the second embodiment, the same symbols will be used and their description will be omitted.

[0199] For example, in the second embodiment, the training seat 1A is configured such that the seat body S10 is separated from the exercise device 10. Fig.16 The training chair 1B shown, the exercise device can also be set as one body with the seat body S10. The training chair 1B includes armrests 40, which are arranged on the left and right sides of the seat back S2 as an example of exercise equipment, and also includes a footrest 50 as an example of exercise equipment, which is arranged at the front end of the seat cushion S1.

[0200] The armrest 40 may be supported on the seat back S2 and may be rotated. A load generator 41 composed of a motor is provided on the rotation axis of the armrest 40 .

[0201] The footrest 50 is supported on the seat cushion S1 and is rotatable. A load generator 51 made of a motor is provided on the rotation axis of the footrest 50 .

[0202] The controller 30 can control the loads generated by the load generators 41 and 51 .

[0203] With the training chair 1B, for example, the load for pushing up the armrest 40 is controlled by the load generator 41 so that the user P can perform an exercise for pushing down the armrest 40 with his forearm.

[0204] For the training chair 1B, for example, the load for pushing up the footrest 50 is controlled by the load generator 51, so that the user P can use his calf to push down the footrest 50. When the user P performs rehabilitation training, he can use the opposite method, and the footrest 50 can be supported when the user P's calf is lifted.

[0205] Although the second embodiment uses pressure as a signal for obtaining vital sign parameters, temperature or humidity may also be used. Physical quantities other than pressure, such as infrared rays, etc., may be used to obtain the heart rate of the user P.

[0206] In the second embodiment, the controller 30 and the display DSP are configured separately, but the controller 30 and the display DSP may be used as an integral unit. As an example of a combination of the controller 30 and the display DSP, a smartphone or a tablet may be used.

[0207] In the second embodiment, as an example of the motion state, the pressure value is displayed on the display DSP, but other values ​​such as heart rate, body temperature, etc. may also be displayed as the motion state.

[0208] In the second embodiment, as an example of a pressure sensor, individually distributed sensors are described, each sensor acquires the pressure of a corresponding point, and the pressure sensor may also be a pressure distribution sensor that measures pressure distribution.

[0209] In a second embodiment, a sensor is described that is disposed under the seat cover, i.e., a sensor embedded in the seat, but the sensor may also be disposed on the outside of the seat. In this alternative arrangement, the sensor may be disposed in a location that is consistent with the user's physique. For example, the user may affix the sensor to a location on the seat that is consistent with their own physique. The sensor may be attached to the seat surface by a removable object such as a hook and loop fastener.

[0210] The second embodiment describes a butterfly machine as a sports machine, but any type of sports machine can be used without limitation. For example, the sports machine can be a sports bicycle, or a pedal wheelchair, which is a wheelchair with pedals similar to those of a sports bicycle.

[0211] The second embodiment describes the use of heart rate to determine the user's exercise load, but the load can also be determined based on the degree of posture disorder. For example, if the degree of posture disorder is small, the load is determined to be small, and if the degree of posture disorder is large, the load is determined to be large.

[0212] When temperature is used as a vital sign parameter, if the temperature (ie, body temperature) is high, the judgment load is large, and if the temperature is low, the judgment load is small.

[0213] When humidity is used as a physical sign parameter, if the humidity (ie, sweat) is high, the load is judged to be large, and if the humidity is low, the load is judged to be small.

[0214] The data of the motion state obtained in the training chair can be saved in the server or terminal used by the user. By using these motion state data, the user's athletic ability can be judged. For example, when the user is training on other training chairs, the controller of the training chair can import the saved motion state data, so that the load set by the load controller can be set to a load suitable for the user.

[0215] The second embodiment describes a training chair including a seat back, which may or may not be provided.

[0216] The second embodiment describes that the motion status is prompted to the user through a display, but the prompt can be performed in any other manner, such as sound, Braille, etc.

[0217] The elements of the above-described exemplary embodiments and exemplary modifications may be arbitrarily combined as necessary.

Claims

1. A seat, characterized in that: include, The seat body (S10) is composed of a seat cushion (S1) and a seat back (S2); A pressure sensor (PS) is arranged in the seat body (S10) and is used to detect the pressure value of the seated person (P) on the seat body (S10); A sports device (10) for the seated person (P) to exercise; a display (DSP), arranged at a position visible to the seated person (P), capable of displaying an image of the seat body (S10), wherein a colored graphic is displayed at a position corresponding to the pressure sensor (PS) in the image of the seat body (S10); A controller (30) controls the color or saturation of the colored graphics in a display (DSP) according to the pressure value of the pressure sensor (PS), so that the color or saturation changes with the size of the pressure value.

2. The seat according to claim 1, characterized in that: The controller (30) controls the display (DSP) to display the pressure value and notify the seated occupant (P) of the evaluation value of the seated occupant's (P) posture when the seated occupant (P) moves.

3. The seat according to claim 2, characterized in that: The controller (30) controls the display (DSP), and the display (DSP) displays prompt information, and the seated person (P) is notified of the evaluation value of his posture through the prompt information.

4. The seat according to claim 1, characterized in that: The exercise device (10) is a butterfly machine, comprising two movable parts (12), and the seated person (P) exercises his left upper arm and right upper arm by opening and closing the movable parts (12).

5. The seat according to claim 1, characterized in that: The sports device (10) comprises an armrest (40), wherein the armrest (40) is rotatably supported on the seat back (S2); The load generator (31) generates an upward load on the armrest (40), and the seated person (P) moves by pushing the armrest (40) downward.

6. The seat according to any one of claims 1 to 3, characterized in that: The exercise device (10) comprises a footrest (50), wherein the footrest (50) is rotatably supported on the seat cushion (S1); The load generator (41) generates an upward load on the footrest (50), and the seated person (P) moves by pushing the footrest (50) downward.

Images