Motion state monitoring system, training support system, control method and control program

Abstract

A motion state monitoring system, a training support system, a control method and a control program are disclosed. A motion state monitoring system includes: a selection unit that selects one or more sensors from a plurality of sensors associated with a plurality of corresponding body parts of a subject's body based on one or more specified motions to be monitored; a calibration result determination unit that determines whether calibration of each of the one or more sensors selected by the selection unit is completed; a calculation processing unit that generates a calculation result indicating the motion state of the subject based on the result of detection performed by each of the one or more sensors selected by the selection unit when the calibration result determination unit determines that calibration is completed; and an output unit that outputs the result of calculation performed by the calculation processing unit.

Description

Technical Field

[0001] The present disclosure relates to a motion state monitoring system, a training support system, a method of controlling the motion state monitoring system, and a control program. Background Art

[0002] The motion detection device disclosed in Japanese unexamined patent application publication No. 2020-81413 includes: a posture detection unit that detects the posture of a body part by using measurement data of a set of sensors (acceleration sensors and angular velocity sensors) of body parts attached to the body of a user (subject); a time acquisition unit that acquires the time elapsed from the start of measuring the motion; and a motion state detection unit that detects the user's motion state by using the posture detected by the posture detection unit and the elapsed time acquired by the time acquisition unit. Summary of the invention

[0003] However, the motion detection device disclosed in Japanese unexamined patent application publication No. 2020-81413 has a problem in that since the user's motion state is detected only using measurement data of a set of sensors attached to body parts of the user's (subject's) body, more complex user motion states cannot be effectively monitored.

[0004] The present disclosure is proposed in view of the above-mentioned situation, and its purpose is to provide the following motion state monitoring system, training support system, method for controlling the motion state monitoring system and control program, which can effectively monitor the complex motion state of the subject by monitoring the motion state of the subject using the results of detection performed by one or more sensors selected from multiple sensors based on the motion to be monitored.

[0005] The first exemplary aspect is a motion state monitoring system, comprising: a selection unit configured to select one or more sensors from a plurality of sensors associated with a plurality of corresponding body parts of the body of the subject based on one or more specified motions to be monitored; a calibration result determination unit configured to determine whether calibration of each of the one or more sensors selected by the selection unit is completed; a calculation processing unit configured to generate a calculation result indicating the motion state of the subject based on the result of detection performed by each of the one or more sensors selected by the selection unit when the calibration result determination unit determines that calibration is completed; and an output unit configured to output the result of calculation performed by the calculation processing unit. By using the result of detection performed by one or more sensors selected from a plurality of sensors associated with a plurality of corresponding body parts based on the motion to be monitored, this motion state monitoring system can output a more accurate calculation result indicating the motion state of the subject than when using the result of detection performed by a set of sensors attached to one body part. Therefore, the user can effectively monitor the complex motion state of the subject. In addition, this motion state monitoring system can output a more accurate calculation result by using the result of detection performed by the sensor that has completed calibration. Therefore, the user can more accurately monitor the motion state of the subject.

[0006] The calibration result determination unit is configured to determine that the calibration is completed when the output value of at least each of the one or more sensors falls within a predetermined range after a predetermined time period has passed since the start of calibration of each of the one or more sensors at least selected by the selection unit.

[0007] The time when calibration starts may be the time when an instruction to start calibration is given in a state where at least each of the one or more sensors selected by the selection unit is stationary. In addition, the time when calibration starts may be the time when the power supply of at least each of the one or more sensors is turned on in a state where at least each of the one or more sensors selected by the selection unit is stationary.

[0008] It is desirable that the output unit is further configured to output information prompting the user to make the sensor whose calibration is not completed still when the calibration of at least one of the one or more sensors selected by the selection unit is not completed. Through this configuration, the user can determine the sensor whose calibration is not completed and make this sensor still.

[0009] The calibration result determination unit is further configured to determine whether calibration of the plurality of sensors associated with the plurality of corresponding body parts of the subject's body is all completed. With this configuration, calibration can be completed before pairing is performed.

[0010] Another exemplary aspect is a training support system, comprising: a plurality of measuring instruments, each measuring instrument including one of a plurality of sensors associated with a plurality of corresponding body parts of the subject's body; and a motion state monitoring system according to any of the above aspects. By using the results of detection performed by one or more sensors selected from a plurality of sensors associated with a plurality of corresponding body parts based on the motion to be monitored, this training support system can output a more accurate calculation result indicating the motion state of the subject than when using the results of detection performed by a set of sensors attached to one body part. Therefore, the user can effectively monitor the complex motion state of the subject. In addition, this training support system can output a more accurate calculation result by using the results of detection performed by a sensor that has completed calibration. Therefore, the user can more accurately monitor the motion state of the subject.

[0011] Another exemplary aspect is a method for controlling a motion state monitoring system, the method comprising: selecting one or more sensors from a plurality of sensors associated with a plurality of corresponding body parts of a subject's body based on one or more specified motions to be monitored; determining whether calibration of at least each of the one or more sensors is completed; when it is determined that calibration is completed, generating a calculation result indicating the motion state of the subject based on the result of detection performed by each of the one or more selected sensors; and outputting the calculated result. In this method for controlling a motion state monitoring system, by using the result of detection performed by one or more sensors selected from a plurality of sensors associated with a plurality of corresponding body parts based on the motion to be monitored, a more accurate calculation result indicating the motion state of the subject can be output compared to when using the result of detection performed by a set of sensors attached to one body part. Therefore, the user can effectively monitor the complex motion state of the subject. In addition, in this method for controlling a motion state monitoring system, a more accurate calculation result can be output by using the result of detection performed by the sensor that has completed calibration. Therefore, the user can more accurately monitor the motion state of the subject.

[0012] Another exemplary aspect is a control program for causing a computer to: select one or more sensors from a plurality of sensors associated with a plurality of corresponding body parts of a subject's body based on one or more specified movements to be monitored; determine whether calibration of at least each of the one or more selected sensors is completed; when it is determined that calibration is completed, generate a calculation result indicating the motion state of the subject based on the result of detection performed by each of the one or more selected sensors; and output the result of the calculation. By using the result of detection performed by one or more sensors selected from a plurality of sensors associated with a plurality of corresponding body parts based on the movement to be monitored, this control program can output a more accurate calculation result indicating the motion state of the subject than when using the result of detection performed by a set of sensors attached to one body part. Therefore, the user can effectively monitor the complex motion state of the subject. In addition, this control program can output a more accurate calculation result by using the result of detection performed by the sensor that has completed calibration. Therefore, the user can more accurately monitor the motion state of the subject.

[0013] According to the present disclosure, a motion state monitoring system, a training support system, a method of controlling the motion state monitoring system, and a control program can be provided that are capable of effectively monitoring the complex motion state of a subject by monitoring the motion state of the subject using the results of detection performed by one or more sensors selected from multiple sensors based on the motion to be monitored.

[0014] The above and other objects, features and advantages of the present disclosure will become more fully understood from the detailed description given below and the accompanying drawings which are given by way of example only and thus should not be considered as limiting the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a block diagram showing a configuration example of a training support system according to the first embodiment;

[0016] Figure 2 is a diagram showing an example of a body part to which a measuring instrument is attached;

[0017] Figure 3 It is shown Figure 1 A diagram showing an example of a configuration of a measuring instrument provided in a training support system shown in FIG.

[0018] Figure 4 Shows how to attach to Figure 3 A diagram of an example of a measuring instrument shown in;

[0019] Figure 5 is a diagram used to explain the calibration;

[0020] Figure 6 It is shown Figure 1 A flowchart of the operation of the training support system shown in ;

[0021] Figure 7 is a diagram showing an example of a screen displayed on a monitor (a selection screen for a sport to be monitored);

[0022] Figure 8 is a diagram showing an example of a screen displayed on a monitor (a selection screen for a sport to be monitored);

[0023] Fig. 9 is a diagram showing an example of a screen displayed on a monitor (a selection screen for a sport to be monitored);

[0024] Fig.10 is a diagram showing an example of a screen displayed on a monitor (a selection screen for a sport to be monitored);

[0025] Fig.11 is a diagram showing an example of a screen displayed on a monitor (a screen during calibration);

[0026] Fig.12 is a diagram showing an example of a screen displayed on a monitor (a screen after calibration is completed);

[0027] Fig.13 is a diagram showing an example of a screen displayed on a monitor (a screen before measurement);

[0028] Fig.14 is a diagram showing an example of a screen displayed on a monitor (a screen during measurement);

[0029] Fig.15 It is shown Figure 1 a block diagram of a modified example of the training support system shown in ; and

[0030] Fig.16 It is shown Fig.15 A diagram of a configuration example of a measuring instrument provided in the training support system shown in FIG. DETAILED DESCRIPTION

[0031] Hereinafter, although the present disclosure will be described with reference to the embodiments of the present disclosure, the present disclosure according to the claims is not limited to the following embodiments. In addition, all components described in the following embodiments are not necessarily indispensable as means for solving the problem. In order to make the explanation clear, the following description and drawings are appropriately partially omitted and simplified. In addition, throughout the drawings, the same symbols are assigned to the same elements, and redundant descriptions are omitted when necessary.

[0032] <First Embodiment>

[0033] Figure 1 1 is a block diagram showing a configuration example of a training support system 1 according to the first embodiment. The training support system 1 is a system for monitoring the motion of a subject and providing support for bringing the motion of the subject close to a desired motion based on the monitoring result. Details thereof will be described below.

[0034] like Figure 1 As shown in FIG. 1 , the training support system 1 includes a plurality of measuring instruments 11 and a motion state monitoring device 12. In this embodiment, an example will be described in which 11 measuring instruments 11 are provided. In the following description, the 11 measuring instruments 11 are also respectively referred to as measuring instruments 11_1 to 11_11 in order to distinguish them from each other.

[0035] The measuring instruments 11_1 to 11_11 are respectively attached to the body parts 20_1 to 20_11 from which the motion is to be detected among the various body parts of the body of the subject P, and detect the motion of the corresponding body parts 20_1 to 20_11 by using motion sensors (hereinafter simply referred to as sensors) 111_1 to 111_11, such as gyro sensors. Note that the measuring instruments 11_1 to 11_11 are associated with the corresponding body parts 20_1 to 20_11 through the pairing process performed with the motion state monitoring device 12.

[0036] Figure 2 1 is a diagram showing an example of a body part to which the measuring instruments 11_1 to 11_11 are to be attached. Figure 2 In the example shown, the body parts 20_1 to 20_11 to which the corresponding measuring instruments 11_1 to 11_11 are to be attached are the right upper arm, right forearm, head, chest (torso), waist (pelvis), left upper arm, left forearm, right thigh, right calf, left thigh and left calf.

[0037] (Configuration Example of Measuring Instruments 11_1 to 11_11)

[0038] Figure 3 11_1 is a diagram showing a configuration example of the measuring instrument 11_1. Note that the configuration of each of the measuring instruments 11_2 to 11_11 is similar to that of the measuring instrument 11_1, and thus a description thereof will be omitted.

[0039] like Figure 3 As shown in , the measuring instrument 11_1 includes a sensor 111_1, an attachment pad 112_1, and a belt 113_1. The belt 113_1 is configured so that it can be wrapped around a body part of the subject P from which motion is to be detected. The sensor 111_1 is integrated with, for example, the attachment pad 112_1. In addition, the attachment pad 112_1 is configured so that it can be attached to or detached from the belt 113_1.

[0040] Figure 4 is a diagram showing an example of how to attach the measuring instrument 11_1. Figure 4 In the example shown, the band 113_1 is wrapped around the right upper arm, which is one of the body parts from which motion is to be detected, of the subject P. After pairing, calibration, etc. are completed, the sensor 111_1 is attached to the band 113_1 with the attachment pad 112_1 interposed therebetween.

[0041] Return to reference Figure 1 , will continue to describe.

[0042] The motion state monitoring device 12 is a device that outputs a calculation result indicating the motion state of the subject P based on the result (sensing value) of the detection performed by the sensors 111_1 to 111_11. The motion state monitoring device 12 is, for example, one of a personal computer (PC), a mobile phone terminal, a smart phone, and a tablet terminal, and is configured so that it can communicate with the sensors 111_1 to 111_11 via a network (not shown). The motion state monitoring device 12 may also be referred to as a motion state monitoring system.

[0043] Specifically, the motion state monitoring device 12 at least includes a selection unit 121 , a calculation processing unit 122 , an output unit 123 and a calibration result determination unit 124 .

[0044] The selection unit 121 selects one or more sensors for measuring the movements to be monitored (such as bending and stretching the right elbow and internally and externally rotating the left shoulder) specified by a user (such as an assistant) from among the sensors 111_1 to 111_11 associated with the corresponding body parts 20_1 to 20_11 of the body of the subject P.

[0045] The calibration result determination unit 124 determines whether calibration of at least one or more sensors selected by the selection unit 121 is completed.

[0046] For example, calibration is a process for measuring the output value (error component) of a sensor in a stationary state, which is used to measure the motion to be monitored, and subtracting the error component from the measured value. It should be noted that the output value of the sensor stabilizes within a predetermined range after about 20 seconds have passed since the sensor was brought to a stationary state (see Figure 5). Therefore, in calibration, it is desired that the output value of the sensor after a predetermined period of time (for example, 20 seconds) has passed since the sensor was brought to rest is used as the error component. In this embodiment, a description is given with an example in which the output value of the sensor after a predetermined period of time has passed since the user gave an instruction to start calibration after the sensor was brought to rest is used as the error component. However, the time to start calibration is not limited to the time when the user gives an instruction to start calibration after the sensor is brought to rest, and may be, for example, the time when the power of the sensor is turned on after the sensor is brought to rest. In addition, "during calibration" refers to a processing time period until the error component is determined, and "calibration completed" means that the output value (error component) of the sensor in a stationary state has been determined.

[0047] The calculation processing unit 122 performs calculation processing based on the result of detection performed by each of the one or more sensors selected by the selection unit 121, and generates a calculation result indicating the motion state of the motion to be monitored. It should be noted that when the calibration result determination unit 124 determines that the calibration is completed, the calculation processing unit 122 performs the above-mentioned calculation processing. By doing so, the calculation processing unit 122 can prevent the result of detection performed by a sensor that has not been calibrated from being erroneously used.

[0048] The output unit 123 outputs the result of the calculation performed by the calculation processing unit 122. The output unit 123 is, for example, a display device, and displays the result of the calculation performed by the calculation processing unit 122 on a monitor, for example, by graphing the result. In this embodiment, an example in which the output unit 123 is a display device will be described. However, the output unit 123 is not limited to being a display device, and may instead be a speaker for outputting the result of the calculation performed by the calculation processing unit 122 by voice, or a transmission device that transmits the result of the calculation performed by the calculation processing unit 122 to an external display device or the like.

[0049] In addition, the output unit 123 may be configured to output the result of the determination performed by the calibration result determination unit 124. For example, the output unit 123 may output information indicating that the calibration is completed, and when the calibration is not completed even after a predetermined period of time has passed, the output unit 123 may output information prompting the user to make the sensor for which the calibration is not completed still.

[0050] (Operation of Training Support System 1)

[0051] Figure 6 is a flowchart showing the operation of the training support system 1 .

[0052] In the training support system 1, first, a pairing process is performed between the measuring instruments 11_1 to 11_11 and the motion operation state monitoring device 12, and thereby the measuring instruments 11_1 to 11_11 and the body parts 20_1 to 20_11 are respectively associated with each other (step S101). It is noted that the pairing process can also be performed in advance by pre-registering the above-mentioned corresponding measuring instruments and body parts.

[0053] Thereafter, the user specifies the motion to be monitored of the subject P (step S102). This allows the output unit 123 (which is a display device) to display the body part to which the sensor for measuring the specified motion to be monitored will be attached (step S103). Figures 7 to 10 Describes how the user specifies the motion to monitor. Figures 7 to 10 1 and 2 are diagrams each showing an example of a screen displayed on the monitor 300 of the output unit 123 which is a display device.

[0054] like Figure 7 As shown in , first, a list 302 of a plurality of subjects and a human body schematic diagram 301 showing body parts to which sensors are to be attached are displayed on a monitor 300. Note that "1" to "11" shown in the human body schematic diagram 301 correspond to body parts 20_1 to 20_11, respectively. Figure 7 In the example shown, the user has selected the subject P as the subject to be monitored. In addition, the user has selected the "upper body" of the subject P as the body part whose movement is to be monitored.

[0055] Afterwards, if Figure 8 As shown in , the monitor 300 displays a selection list 303 in which more detailed motions to be monitored are listed from among the motions regarding the “upper body” of the subject P selected as the body part to monitor motions.

[0056] For example, this selection list 303 includes such as bending and stretching of right shoulder, adduction and abduction of right shoulder, internal rotation and external rotation of right shoulder, bending and stretching of right elbow, forward rotation and backward rotation of right forearm, bending and stretching of head, rotation of head, bending and stretching of chest and waist, rotation of chest and waist, lateral bending of chest and waist, bending and stretching of left shoulder, adduction and abduction of left shoulder, internal rotation and external rotation of left shoulder, bending and stretching of left elbow, and forward rotation and backward rotation of left forearm. The user selects the more detailed motion to be monitored from this selection list 303. By doing so, among the body parts "1" to "11" (body parts 20_1 to 20_11) to which the sensor shown in the human body schematic diagram 301 will be attached, the body part to which the sensor to be attached for measuring the motion to be monitored specified by the user will be highlighted.

[0057] exist Figure 8In the example shown, the user selects "bending and stretching of the right elbow" from the selection list 303. Here, the bending and stretching movements of the right elbow can be measured based on the results of detection performed by each of the sensor (111_1) attached to the right upper arm (body part 20_1) and the sensor (111_2) attached to the right forearm (body part 20_2). Figure 8 In the example shown, body parts "1" and "2" (body parts 20_1 and 20_2) are highlighted as body parts to which sensors are to be connected, and these sensors are used to measure "flexion and extension of the right elbow" as the movement to be monitored. After the user selects a movement from the selection list 303, he / she presses the setting completion button 304.

[0058] Note that in Figure 8 In the example of FIG. 5 , although only “bending and stretching of the right elbow” is selected as the motion to be monitored, this is merely an example, and a plurality of motions to be monitored may be selected instead, such as Fig. 9 as shown in the example.

[0059] exist Fig. 9 In the example shown, the user has selected “flexion and extension of right elbow,” “internal and external rotation of right shoulder,” “flexion and extension of left elbow,” and “internal and external rotation of left shoulder” from the selection list 303 .

[0060] Here, the bending and stretching movements of the right elbow can be measured based on the results of detection performed by each of the sensors (111_1) attached to the right upper arm (body part 20_1) and the sensors (111_2) attached to the right forearm (body part 20_2). Similarly, the internal rotation and external rotation movements of the right shoulder can be measured based on the results of detection performed by each of the sensors (111_1) attached to the right upper arm (body part 20_1) and the sensors (111_2) attached to the right forearm (body part 20_2).

[0061] In addition, the flexion and extension movements of the left elbow can be measured based on the results of the detection performed by each of the sensors (111_6) attached to the left upper arm (body part 20_6) and the sensors (111_7) attached to the left forearm (body part 20_7). Similarly, the internal rotation and external rotation movements of the left shoulder can be measured based on the results of the detection performed by each of the sensors (111_6) attached to the left upper arm (body part 20_6) and the sensors (111_7) attached to the left forearm (body part 20_7).

[0062] Therefore, in Fig. 9In the example shown, body parts "1", "2", "6", and "7" (body parts 20_1, 20_2, 20_6, and 20_7) are highlighted as body parts to which sensors are to be attached, and these sensors are used to measure "flexion and extension of the right elbow", "internal rotation and external rotation of the right shoulder", "flexion and extension of the left elbow", and "internal rotation and external rotation of the left shoulder" as the movements to be monitored. The following description is given by taking "flexion and extension of the right elbow", "internal rotation and external rotation of the right shoulder", "flexion and extension of the left elbow", and "internal rotation and external rotation of the left shoulder" as an example of selecting "flexion and extension of the right elbow", "internal rotation and external rotation of the right shoulder", "flexion and extension of the left elbow", and "internal rotation and external rotation of the left shoulder" as the movements to be monitored.

[0063] Note that when there is a sensor whose power is turned off among sensors for measuring motion to be monitored, the sensor whose power is turned off (more specifically, a body part to which the sensor whose power is turned off is to be connected) may be highlighted.

[0064] Specifically, in Fig.10 In the example shown, since the power of sensor 111_1 is turned off, the body part "1" (body part 20_1) to which sensor 111_1 is to be attached is highlighted. Therefore, the user can turn on the power of the sensor 111_1 whose power is turned off or replace it with another sensor before starting to measure the movement to be monitored.

[0065] After specifying the motion to be monitored (step S102) and displaying the body part to which the sensor for measuring the motion to be monitored is to be attached (step S103), calibration of the sensor for measuring the motion to be monitored is then performed (step S104).

[0066] During calibration, the monitor 300 displays, for example, Fig.11 After the calibration is completed, the monitor 300 displays, for example, Fig.12 Attach the sensor. Note that the information indicating that calibration is in progress or that calibration has been completed is not limited to being given by displaying it on the monitor 300, and may be given by other notification methods, such as by voice, instead. Note that when calibration is not completed even after a predetermined period of time has passed, the monitor 300 displays, for example, information prompting the user to leave the sensor for which calibration has not been completed still, so that the user cannot proceed to the next operation until calibration is completed.

[0067] In this example, calibration is performed on sensors 111_1, 111_2, 111_6, and 111_7 for measuring the motion to be monitored. However, calibration is not limited to being performed on sensors for measuring the motion to be monitored, but may instead be performed on all sensors 111_1 to 111_11, for example, before the pairing process. Note that it is only required to complete calibration before starting to measure the motion to be monitored.

[0068] After the calibration is completed, the sensors are attached to the subject P (step S105). In this example, the sensors 111_1, 111_2, 111_6, and 111_7 are attached to the body parts 20_1, 20_2, 20_6, and 20_7 of the subject P, respectively.

[0069] Thereafter, the motion to be monitored is measured based on the result of detection performed by each of the sensors 111_1 , 111_2 , 111_6 , and 111_7 (step S106 ).

[0070] Fig.13 is a diagram showing an example of a screen displayed on the monitor 300 after calibration is completed and before measurement of a motion to be monitored is started. Fig.14 is a diagram showing an example of a screen displayed on the monitor 300 during measurement of motion to be monitored.

[0071] like Fig.13 and Fig.14 As shown in the figure, the monitor 300 displays at least a human body schematic diagram 301 of the subject, graphs 305_1 and 305_2 of the corresponding detection results of two sensors selected by the user (corresponding sensing values ​​in the three axial directions), the startup status 306 and the remaining battery power 307 of each sensor, and graphs 308_1 and 308_2 indicating the calculation results of the motion states of two motions to be monitored selected by the user.

[0072] exist Fig.13 and Fig.14 In the example shown, the result of the detection performed by the sensor 111_1 of the body part "1" (body part 20_1) attached to the right upper arm is displayed as a graph 305_1, and the result of the detection performed by the sensor 111_6 of the body part "6" (body part 20_6) attached to the left upper arm is displayed as a graph 305_2. Fig.13 and Fig.14In the example shown, the calculation result indicating the motion state of "bending and stretching of the right elbow" as one of the motions to be monitored is displayed as a graph 308_1, and the calculation result indicating the motion state of "bending and stretching of the left elbow" as one of the motions to be monitored is displayed as a graph 308_2. The contents shown in these graphs can be freely selected by the user.

[0073] Note that the monitor 300 may display all graphs showing the respective results of detection performed by the four sensors 111_1, 111_2, 111_6, and 111_7. In addition, the monitor 300 may display all graphs showing the calculation results of the motion states of the four motions to be monitored.

[0074] In addition, the graphs 308_1 and 308_2 showing the motion state of the motion to be monitored can be displayed so that they are each displayed in a size larger than the information (e.g., the activation status 306 of each sensor, the remaining battery power 307, and the graphs 305_1 and 305_2 showing the results of the detection performed by the sensor). Therefore, the motion state of the subject P can be visually recognized more easily.

[0075] Note that the calculation result indicating the motion state of “bending and stretching of the right elbow” can be determined by, for example, the difference between the result of the detection performed by the sensor 111_1 attached to the right upper arm and the result of the detection performed by the sensor 111_2 attached to the right forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the motion state of “bending and stretching of the right elbow” based on the result of the detection performed by each of the sensors 111_1 and 111_2 selected by the selection unit 121. Then, the output unit 123 (which is a display device) graphs and displays the calculation result generated by the calculation processing unit 122 on the monitor 300.

[0076] In addition, the calculation result indicating the motion state of "bending and stretching of the left elbow" can be determined by, for example, the difference between the result of the detection performed by the sensor 111_6 attached to the left upper arm and the result of the detection performed by the sensor 111_7 attached to the left forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the motion state of "bending and stretching of the left elbow" based on the result of the detection performed by each of the sensors 111_6 and 111_7 selected by the selection unit 121. Then, the output unit 123 (which is a display device) graphs and displays the calculation result generated by the calculation processing unit 122 on the monitor 300.

[0077] Similarly, the calculation result indicating the movement state of “internal rotation and external rotation of the right shoulder” can be determined by, for example, the difference between the result of the detection performed by the sensor 111_1 attached to the right upper arm and the result of the detection performed by the sensor 111_2 attached to the right forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the movement state of “internal rotation and external rotation of the right shoulder” based on the result of the detection performed by each of the sensors 111_1 and 111_2 selected by the selection unit 121. Then, the output unit 123 (which is a display device) can graph the calculation result generated by the calculation processing unit 122 and display it on the monitor 300.

[0078] Similarly, the calculation result indicating the motion state of “internal rotation and external rotation of the left shoulder” can be determined by, for example, the difference between the result of the detection performed by the sensor 111_6 attached to the left upper arm and the result of the detection performed by the sensor 111_7 attached to the left forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the motion state of “internal rotation and external rotation of the left shoulder” based on the result of the detection performed by each of the sensors 111_6 and 111_7 selected by the selection unit 121. Then, the output unit 123 (which is a display device) can graph the calculation result generated by the calculation processing unit 122 and display it on the monitor 300.

[0079] As described above, the motion state monitoring device 12 according to this embodiment and the training support system 1 including this motion state monitoring device 12 output the calculation result indicating the motion state of the subject based on the result of the detection performed by each sensor of one or more sensors corresponding to the motion to be monitored among multiple sensors associated with multiple corresponding body parts. Through this configuration, compared with the result of the detection performed by a set of sensors attached to one body part, the motion state monitoring device 12 according to this embodiment and the training support system 1 including this motion state monitoring device 12 can output a more accurate calculation result indicating the motion state of the subject. Therefore, the user can effectively monitor the complex motion state of the subject. In addition, the motion state monitoring device 12 according to this embodiment and the training support system 1 including this motion state monitoring device 12 can output a more accurate calculation result by using the result of the detection performed by the sensor whose calibration has been completed. Therefore, the user can monitor the motion state of the subject more accurately.

[0080] Note that the order of processing executed in the training support system 1 is not limited to Figure 6 For example, calibration may be performed before pairing.

[0081] <Modification Example of Training Support System 1>

[0082] Fig.15 is a block diagram showing a training support system 1a as a modified example of the training support system 1. In the training support system 1a, unlike the training support system 1, each measuring instrument 11_1 to 11_11 is configured so that the direction in which the sensor is attached relative to the attachment pad 112_1 (hereinafter referred to as the attachment direction) can be changed. In addition, the training support system 1a includes a motion state monitoring device 12a instead of the motion state monitoring device 12. In addition to the components included in the motion state monitoring device 12, the motion state monitoring device 12a also includes an attachment direction detection unit 125. Since the configuration of the motion state monitoring device 12a other than the above-mentioned components is similar to that of the motion state monitoring device 12, its description will be omitted.

[0083] Fig.16 1 is a diagram showing a configuration example of the measuring instrument 11_1 provided in the training support system 1a. Note that since the configuration of each of the measuring instruments 11_2 to 11_11 is similar to that of the measuring instrument 11_1, description thereof will be omitted.

[0084] like Fig.16 As shown in , in the measuring instrument 11_1, the sensor 111_1 can be attached in any direction relative to the attachment pad 112_1. If the direction of the sensor 111_1 is the reference attachment direction (attachment angle is zero degrees) when the sensor 111_1 is attached so that its longitudinal direction is placed along the circumferential direction of the belt 113_1, then the sensor 111_1 can also be attached, for example, by rotating it 90 degrees relative to the reference attachment direction. In addition to the result of the detection performed by the sensor 111_1 (sensing value), the measuring instrument 11_1 also transmits information about the attachment direction of the sensor 111_1 relative to the reference attachment direction to the motion state monitoring device 12a.

[0085] The attachment direction detection unit 125 is configured so that it can detect information about the attachment directions of the sensors 111_1 to 111_11 relative to the corresponding reference attachment directions. The output unit 123 outputs the information about the attachment directions of the sensors detected by the attachment direction detection unit 125 relative to their reference attachment directions together with the results of the detection performed by the sensors, and outputs the results of the detection performed by the sensors in which the attachment directions of the sensors are taken into account. By doing so, the user can more accurately grasp the results of the detection performed by the sensors.

[0086] As described above, the motion state monitoring device according to the above-mentioned embodiment and the training support system including this motion state monitoring device output the calculation result indicating the motion state of the subject based on the result of the detection performed by each sensor of one or more sensors corresponding to the motion to be monitored among multiple sensors associated with multiple corresponding body parts. Through this configuration, compared with the result of the detection performed by a set of sensors attached to one body part, the motion state monitoring device according to the above-mentioned embodiment and the training support system including this motion state monitoring device are able to output more accurate calculation results indicating the motion state of the subject. Therefore, the user can effectively monitor the complex motion state of the subject. In addition, the motion state monitoring device according to the above-mentioned embodiment and the training support system including this motion state monitoring device can output more accurate calculation results by using the results of the detection performed by the sensor whose calibration has been completed. Therefore, the user can monitor the motion state of the subject more accurately.

[0087] In addition, although the present disclosure is described as a hardware configuration in the above-mentioned embodiment, the present disclosure is not limited thereto. In the present disclosure, the control process of the motion state monitoring device can be realized by causing a central processing unit (CPU) to execute a computer program.

[0088] In addition, any type of non-transitory computer-readable medium can be used to store the above program and provide it to the computer. Non-transitory computer-readable media include any type of tangible storage media. Examples of non-transitory computer-readable media include magnetic storage media (such as floppy disks, magnetic tapes, hard disk drives, etc.), optical magnetic storage media (e.g., magneto-optical disks), CD-ROMs (Compact Disc Read-Only Memory), CD-Rs (Recordable Compact Discs), CD-R / Ws (Rewritable Compact Discs), and semiconductor memories (such as mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), Flash ROMs, RAMs (Random Access Memory), etc.). Any type of transient computer-readable medium can be used to provide the program to the computer. Examples of transient computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transient computer-readable media can provide the program to the computer via a wired communication line (e.g., wires and optical fibers) or a wireless communication line.

[0089] From the disclosure thus described, it will be apparent that the embodiments of the present disclosure may be modified in a number of ways. Such variations should not be regarded as a departure from the spirit and scope of the present disclosure, and all such modifications as would be clear to one skilled in the art are intended to be included within the scope of the appended claims.

Claims

1. A motion state monitoring system, comprising: a display unit that displays a list of a plurality of subjects and a schematic diagram of a human body showing a body part to which a sensor is to be attached, and in response to a user selecting a subject and a body part whose motion is to be monitored in the displayed list of the plurality of subjects, further displays a selection list that lists items of designated motion to be monitored for the selected body part; a selection unit configured to select two or more sensors from among a plurality of sensors associated with a plurality of corresponding body parts of the body of the subject based on one or more designated motions to be monitored designated by a user in a selection list of designated motions to be monitored displayed on the display unit, the display unit highlighting the body parts to which the two or more selected sensors are to be attached in the human body schematic diagram, and highlighting the parts where the sensors whose power is turned off among the two or more sensors selected by the selection unit are installed, so that the user can turn on the sensors whose power is turned off or replace them with other sensors before the two or more sensors start measuring the motions to be monitored; a calibration result determination unit configured to determine whether calibration of each of at least the two or more sensors selected by the selection unit is completed; a calculation processing unit configured to generate a calculation result indicating a motion state of the subject based on a difference between results of detection performed by each of the two or more sensors selected by the selection unit when the calibration result determination unit determines that the calibration is completed; as well as An output unit is configured to output the result of the calculation performed by the calculation processing unit, as well as information about the part of the body of the subject corresponding to the two or more sensors selected by the selection unit, information about the attachment direction of each of the two or more sensors relative to the reference attachment direction, and information about the remaining battery power of each of the two or more sensors, and during the execution of calibration of each of the two or more sensors selected by the selection unit, output a notification prompting a user to place the two or more sensors still on a table, and when the calibration of at least one of the two or more sensors selected by the selection unit is not completed, output information prompting the user to place the sensor whose calibration is not completed still, and after the calibration is completed, the display unit displays information for prompting the installation of the two or more sensors to the part of the body of the subject.

2. The motion status monitoring system according to claim 1, wherein: The calibration result determination unit is configured to determine that the calibration is completed when an output value of at least each of the two or more sensors falls within a predetermined range after a predetermined time period has passed since the start of calibration of each of the two or more sensors at least selected by the selection unit.

3. The motion status monitoring system according to claim 2, wherein: The time at which calibration starts is the time at which an instruction to start calibration is given in a state in which each of the two or more sensors selected by the selection unit is made to be stationary.

4. The motion status monitoring system according to claim 2, wherein: The time when calibration starts is the time when the power of at least each of the two or more sensors is turned on in a state where at least each of the two or more sensors selected by the selection unit is made to be stationary.

5. The motion state monitoring system according to any one of claims 1 to 4, wherein: The calibration result determination unit is further configured to determine whether calibration of the plurality of sensors associated with the plurality of corresponding body parts of the subject's body is all completed.

6. A training support system comprising: a plurality of measuring instruments, each measuring instrument including one of a plurality of sensors associated with a plurality of corresponding body parts of the subject's body; as well as A motion status monitoring system according to any one of claims 1 to 5.

7. A method for controlling a motion state monitoring system, the method comprising: displaying a list of a plurality of subjects and a schematic diagram of a human body showing a body part to which a sensor is to be attached, and in response to a user selecting a subject and a body part whose motion is to be monitored in the displayed list of the plurality of subjects, further displaying a selection list listing items of designated motion to be monitored for the selected body part; Based on one or more designated motions to be monitored specified by a user in a displayed selection list of designated motions to be monitored, two or more sensors are selected from a plurality of sensors associated with a plurality of corresponding body parts of the subject's body, wherein the body parts to which the two or more selected sensors are to be attached are highlighted in the human body schematic diagram, and the parts where the sensors powered off by the two or more selected sensors are installed are highlighted so that the user can turn on the powered off sensors or replace them with other sensors before the two or more sensors start measuring the motions to be monitored; During execution of calibration of each of the two or more selected sensors, outputting a notification prompting a user to place the two or more sensors still on a table, and when calibration of at least one of the two or more selected sensors is not completed, outputting information prompting the user to place the sensor for which calibration is not completed still; determining whether calibration of at least each of the two or more sensors is completed; When it is determined that the calibration is completed, information for prompting the installation of the two or more sensors to the body part of the subject is displayed, and a calculation result indicating a motion state of the subject is generated based on a difference between results of detection performed by each of the two or more sensors selected; and The calculation result and information of the part of the subject's body corresponding to the selected two or more sensors, information of the attachment direction of each of the two or more sensors relative to the reference attachment direction, and information of the remaining battery power of each of the two or more sensors are output.

8. A computer-readable medium storing a control program for causing a computer to: displaying a list of a plurality of subjects and a schematic diagram of a human body showing a body part to which a sensor is to be attached, and in response to a user selecting a subject and a body part whose motion is to be monitored in the displayed list of the plurality of subjects, further displaying a selection list listing items of designated motion to be monitored for the selected body part; Based on one or more designated motions to be monitored specified by a user in the displayed selection list of designated motions to be monitored, two or more sensors are selected from among a plurality of sensors associated with a plurality of corresponding body parts of the subject's body, wherein Highlighting the body parts to which the selected two or more sensors are to be attached in the human body schematic diagram, and highlighting the parts where the sensors whose power is turned off are installed, so that the user can turn on the sensors whose power is turned off or replace them with other sensors before the two or more sensors start measuring the motion to be monitored; During execution of calibration of each of the two or more selected sensors, outputting a notification prompting a user to place the two or more sensors still on a table, and when calibration of at least one of the two or more selected sensors is not completed, outputting information prompting the user to place the sensor for which calibration is not completed still; determining whether calibration of at least each of the selected two or more sensors is completed; When it is determined that the calibration is completed, information for prompting to install the two or more sensors to the body part of the subject is displayed, and a calculation result indicating a motion state of the subject is generated based on a difference between results of detection performed by each of the two or more sensors selected; as well as The calculation result and information of the part of the subject's body corresponding to the selected two or more sensors, information of the attachment direction of each of the two or more sensors relative to the reference attachment direction, and information of the remaining battery power of each of the two or more sensors are output.

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