Action state monitoring system, training support system, control method of action state monitoring system, and control program

Abstract

The present disclosure relates to an action state monitoring system, a training support system, a control method of the action state monitoring system, and a control program. The action state monitoring system comprises: a selection unit, which selects one or more sensors from among a plurality of sensors corresponding to a plurality of parts of a subject's body, according to one or more designated monitoring object actions; a calculation processing unit, which generates a calculation result representing the action state of the subject, according to the detection result of the one or more sensors selected by the selection unit; and an output unit, which outputs the calculation result of the calculation processing unit, and the output unit further outputs information of one or more parts of the subject's body corresponding to the one or more sensors selected by the selection unit.

Description

Technical Field

[0001] The present invention relates to an action state monitoring system, a training support system, a control method of the action state monitoring system, and a control program. Background Art

[0002] The motion detection device disclosed in Japanese Patent Gazette No. 2020-81413 includes: a posture detection unit, which uses measurement data of a group of sensors (acceleration sensors and angular velocity sensors) installed on a part of the body of a user (subject) to detect the posture of the part; a time acquisition unit, which acquires the elapsed time from the start of measurement; and a motion state detection unit, which detects the user's motion state 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, in the motion detection device disclosed in Japanese Patent Gazette No. 2020-81413, the motion state of the user (subject) is detected using measurement data from only one set of sensors installed on parts of the body of the user, so there is a problem that the user's more complex motion states cannot be effectively monitored.

[0004] The present invention has been completed in view of the above background, and its purpose is to provide a motion state monitoring system, a training support system, a control method and a control program for the motion state monitoring system that can effectively monitor the complex motion state of the subject by using the detection results of one or more sensors selected from a plurality of sensors according to the motion of the monitored object to monitor the motion state of the subject.

[0005] An action state monitoring system according to an embodiment of the present invention comprises: a selection unit, which selects one or more sensors according to one or more designated monitoring target actions from among a plurality of sensors respectively corresponding to a plurality of parts of a body of a subject; a calculation processing unit, which generates a calculation result indicating the action state of the subject according to the detection results of the one or more sensors selected by the selection unit; and an output unit, which outputs the calculation result of the calculation processing unit, and further outputs information of one or more parts of the body of the subject respectively corresponding to the one or more sensors selected by the selection unit. The action state monitoring system can output a calculation result indicating the action state of the subject more accurately than the case of using the detection results of a group of sensors installed at one part by using the detection results of one or more sensors selected according to the monitoring target action among a plurality of sensors. As a result, the user can effectively monitor the complex action state of the subject. In addition, the user can know which part of the body of the subject the sensor installed is used to monitor the action state, so the quality of monitoring can be improved.

[0006] The output unit may further output information of a sensor whose power is off among the one or more sensors selected by the selection unit. Thus, the sensor whose power is off can be powered on or replaced with another sensor.

[0007] The output unit may further output information about the installation orientation of each of the one or more sensors selected by the selection unit relative to the reference installation orientation. In addition, the output unit may further output information about the installation orientation of each of the one or more sensors selected by the selection unit relative to the reference installation orientation in correspondence with the detection result of each of the one or more sensors selected by the selection unit. Thus, the user can more accurately grasp the detection result of the sensor.

[0008] The output unit further outputs information on the remaining battery level of each of the one or more sensors selected by the selection unit. Thus, a sensor with a low remaining battery level can be replaced with another sensor.

[0009] The output unit is a display unit that displays the calculation result of the calculation processing unit larger than the information related to the one or more sensors selected by the selection unit. This makes it easier to visually recognize the movement state of the subject.

[0010] The output unit is a display unit that displays information of the one or more parts of the subject's body corresponding to the one or more sensors selected by the selection unit in addition to the calculation result of the calculation processing unit. Thus, the user can know which part of the subject's body the sensor installed on is used to monitor the action state, so the quality of monitoring can be improved.

[0011] A training support system according to one embodiment of the present invention comprises: a plurality of measuring instruments, each of which has the plurality of sensors corresponding to the plurality of parts of the subject's body; and any of the above-mentioned motion state monitoring systems. The training support system uses the detection results of one or more sensors selected according to the motion of the monitored object among the plurality of sensors, and can output a calculation result representing the motion state of the subject more accurately than the case of using the detection results of a group of sensors installed at one part. As a result, the user can effectively monitor the complex motion state of the subject. In addition, the user can know which part of the subject's body the sensor installed is used to monitor the motion state, so the quality of monitoring can be improved.

[0012] A control method of an action state monitoring system of one embodiment of the present invention comprises: a step of selecting one or more sensors according to one or more designated monitoring target actions among a plurality of sensors respectively corresponding to a plurality of parts of a subject's body; a step of generating a calculation result indicating the action state of the subject according to the detection results of the selected one or more sensors; and a step of outputting the calculation result, in which information of one or more parts of the subject's body respectively corresponding to the selected one or more sensors is further output. The control method of the action state monitoring system can output a calculation result indicating the action state of the subject more accurately than the case of using the detection results of a group of sensors installed at one part by using the detection results of one or more sensors selected according to the monitoring target action among a plurality of sensors. As a result, the user can effectively monitor the complex action state of the subject. In addition, the user can know which part of the subject's body the sensor installed is used to monitor the action state, so the quality of monitoring can be improved.

[0013] A control program of one embodiment of the present invention causes a computer to execute: a process of selecting one or more sensors from among a plurality of sensors corresponding to a plurality of parts of a subject's body, according to one or more designated monitoring target actions; a process of generating a calculation result representing the motion state of the subject, according to the detection results of the one or more selected sensors; and a process of outputting the calculation result, in which information of one or more parts of the subject's body corresponding to the one or more selected sensors is further outputted. The control program can output a calculation result representing the motion state of the subject more accurately than the case of using the detection results of a group of sensors installed at one part, by using the detection results of one or more sensors selected from among a plurality of sensors according to the monitoring target action. As a result, the user can effectively monitor the complex motion state of the subject. In addition, the user can know which part of the subject's body the sensor installed is used to monitor the motion state, so the quality of monitoring can be improved.

[0014] According to the present invention, it is possible to provide a motion state monitoring system, a training support system, a control method and a control program for the motion state monitoring system, which can monitor the motion state of a subject by using the detection results of one or more sensors selected from a plurality of sensors according to the motion of the monitored object, and can effectively monitor the complex motion state of the subject.

[0015] 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 illustration only and thus should not be considered as limiting the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a block diagram showing a configuration example of a training support system according to the first embodiment.

[0017] Figure 2 This is a diagram showing an example of a location to which a measuring instrument is to be installed.

[0018] Figure 3 It is shown that the Figure 1 FIG. 2 is a diagram showing an example of a configuration of a measuring device of a training support system.

[0019] Figure 4 It is shown Figure 3 An example of how the measuring instrument is installed is shown in the figure.

[0020] Figure 5 It is shown Figure 1 Flowchart of the operation of the training support system shown.

[0021] Figure 6 This is a diagram showing an example of a screen (a selection screen for a monitoring target action) displayed on a monitor.

[0022] Figure 7 This is a diagram showing an example of a screen (a selection screen for a monitoring target action) displayed on a monitor.

[0023] Figure 8 This is a diagram showing an example of a screen (a selection screen for a monitoring target action) displayed on a monitor.

[0024] Fig. 9 This is a diagram showing an example of a screen (a selection screen for a monitoring target action) displayed on a monitor.

[0025] Fig.10 It is a diagram for explaining calibration.

[0026] Fig.11 This is a diagram showing an example of a screen displayed on a monitor (a screen during calibration).

[0027] Fig.12 It is a figure which shows an example of the screen displayed on a monitor (screen after calibration is completed).

[0028] Fig.13 It is a figure which shows an example of the screen (screen before measurement) displayed on a monitor.

[0029] Fig.14 This is a diagram showing an example of a screen displayed on a monitor (a screen during measurement).

[0030] Fig.15 It is shown Figure 1 A block diagram of a modified example of the training support system shown.

[0031] Fig.16 It is shown that the Fig.15 FIG. 2 is a diagram showing an example of a configuration of a measuring device of a training support system. DETAILED DESCRIPTION

[0032] The present invention is described below by the embodiments of the invention, but the invention related to the patent claims is not limited to the following embodiments. In addition, the structures described in the embodiments are not all necessary as technical means for solving the problems. For the purpose of clear description, the following descriptions and drawings are appropriately omitted and simplified. In each of the drawings, the same symbols are attached to the same elements, and repeated descriptions are omitted as needed.

[0033] <Implementation Method 1>

[0034] Figure 1 This is a block diagram showing a configuration example of a training support system 1 according to Embodiment 1. The training support system 1 is a system for monitoring the motion of a subject and supporting the subject to move the motion closer to a desired motion based on the monitoring result.

[0035] like Figure 1 As shown, the training support system 1 includes a plurality of measuring devices 11 and an operation state monitoring device 12. In the present embodiment, a case where 11 measuring devices 11 are provided is described as an example. Hereinafter, the 11 measuring devices 11 are also referred to as measuring devices 11_1 to 11_11 respectively.

[0036] The measuring devices 11_1 to 11_11 are respectively attached to the parts 20_1 to 20_11 of the motion detection target among the various parts of the body of the subject P, and use motion sensors such as gyro sensors (hereinafter referred to as sensors) 111_1 to 111_11 to detect the motion of the parts 20_1 to 20_11. In addition, the measuring devices 11_1 to 11_11 are respectively associated with the parts 20_1 to 20_11 through the pairing process performed between the measuring devices 11_1 to 11_11 and the motion state monitoring device 12.

[0037] Figure 2 1 is a diagram showing an example of a location to which the measuring instruments 11_1 to 11_11 are to be mounted. Figure 2In the example, the installation target parts 20_1 to 20_11 of the measuring instruments 11_1 to 11_11 are respectively the right upper arm, right forearm, head, chest (trunk), waist (pelvis), left upper arm, left forearm, right thigh, right calf, left thigh and left calf.

[0038] (Configuration Example of Measuring Devices 11_1 to 11_11)

[0039] Figure 3 1 is a diagram showing a configuration example of the measuring device 11_1. Note that since the measuring devices 11_2 to 11_11 are the same as the measuring device 11_1, their description will be omitted.

[0040] like Figure 3 As shown, the measuring device 11_1 includes a sensor 111_1, a mounting pad 112_1, and a belt 113_1. The belt 113_1 is configured to be wrappable around a motion detection target site of the subject P. The sensor 111_1 is embedded in the mounting pad 112_1, for example, and the mounting pad 112_1 is configured to be attachable to and detachable from the belt 113_1.

[0041] Figure 4 FIG. 1 is a diagram showing an example of how the measuring device 11_1 is installed. Figure 4 In the example of FIG. 1 , the belt 113_1 is wrapped around the right upper arm, which is one of the target parts for motion detection of the subject P. After pairing and calibration, the sensor 111_1 is attached to the belt 113_1 via the attachment pad 112_1 .

[0042] Return to Figure 1 , continue with the description.

[0043] The action state monitoring device 12 is a device that outputs a calculation result indicating the action state of the subject P based on the detection results (sensing values) of the sensors 111_1 to 111_11. The action state monitoring device 12 is, for example, any one of a PC (Personal Computer), a mobile phone terminal, a smart phone, and a tablet terminal, and is configured to be able to communicate with the sensors 111_1 to 111_11 via a network not shown. The action state monitoring device 12 can also be called an action state monitoring system.

[0044] Specifically, the motion state monitoring device 12 includes at least a selection unit 121, a calculation processing unit 122, and an output unit 123. The selection unit 121 selects one or more sensors from the sensors 111_1 to 111_11 corresponding to the body parts 20_1 to 20_11 of the subject P, which are used to measure the monitoring object motion (right elbow flexion and extension, left shoulder internal and external rotation, etc.) specified by the user such as an assistant. The calculation processing unit 122 performs calculation processing based on the detection results of each of the one or more sensors selected by the selection unit 121, and generates a calculation result representing the motion state of the monitoring object motion. The output unit 123 outputs the calculation result of the calculation processing unit 122.

[0045] The output unit 123 is, for example, a display device, which displays the calculation result of the calculation processing unit 122 in a graphical form on a monitor. In this embodiment, the output unit 123 is described as an example of a display device. However, the output unit 123 is not limited to a display device, and may be a speaker that outputs the calculation result of the calculation processing unit 122 by sound, or a transmission device that transmits the calculation result of the calculation processing unit 122 to an external display device or the like.

[0046] (Operation of the training support system 1)

[0047] Figure 5 : is a flowchart showing the operation of the training support system 1 .

[0048] In the training support system 1, first, the measuring instruments 11_1 to 11_11 and the parts 20_1 to 20_11 are associated with each other by pairing processing performed between the measuring instruments 11_1 to 11_11 and the operation state monitoring device 12 (step S101). The pairing processing can also be performed by pre-registration.

[0049] After that, the user specifies the monitoring target action of the subject P (step S102). As a result, the output unit 123 as a display device displays the installation target site of the sensor for measuring the specified monitoring target action (step S103). Figure 6 to Figure 9 , explaining the method of specifying the monitoring object based on the user's monitoring object action. Figure 6 to Figure 9 1 is a diagram showing an example of a screen displayed on the monitor 300 of the output unit 123 as a display device.

[0050] First, in the monitor 300, as shown in FIG. Figure 6 As shown, a list 302 of a plurality of subjects and a human body schematic diagram 301 showing the parts to which the sensors are to be installed are displayed. In addition, "1" to "11" shown in the human body schematic diagram 301 correspond to the parts 20_1 to 20_11, respectively. Figure 6In the example of , the user selects the subject P as the monitored person. Furthermore, the user selects the "upper body" of the subject P as the monitored action.

[0051] Then, in the monitor 300, as shown in FIG. Figure 7 As shown, a selection list 303 listing items of more detailed monitoring target motion in the “upper body” of the subject P selected as the monitoring target motion is displayed.

[0052] The selection list 303 includes, for example, items such as right shoulder flexion and extension, right shoulder internal and external rotation, right shoulder internal and external rotation, right elbow flexion and extension, right forearm pronation and supination, head flexion and extension, head rotation, thoracolumbar flexion and extension, thoracolumbar rotation, thoracolumbar lateral flexion, left shoulder flexion and extension, left shoulder internal and external rotation, left shoulder internal and external rotation, left elbow flexion and extension, and left forearm pronation and supination. The user selects a more detailed item of the monitored object action from the selection list 303. As a result, the sensor installation object part used for measuring the monitored object action specified by the user among the sensor installation object parts "1" to "11" (parts 20_1 to 20_11) shown in the human body schematic diagram 301 is highlighted.

[0053] exist Figure 7 In the example of , the user selects "right elbow flexion and extension" from the selection list 303. Here, the right elbow flexion and extension action can be measured based on the detection results of the sensor (111_1) installed on the right upper arm (part 20_1) and the sensor (111_2) installed on the right forearm (part 20_2). Figure 7 In the example of FIG. 3 , the parts “1” and “2” (parts 20_1 and 20_2) as the installation target parts of the sensor for measuring the “right elbow flexion and extension” as the monitoring target action are highlighted. After selecting an item in the selection list 303 , the setting completion button 304 is pressed.

[0054] In addition, Figure 7 In the example, only "right elbow flexion and extension" is selected as the monitoring target action, but it is not limited to this. Figure 8 As shown in the example of , multiple items of monitoring target actions can also be selected.

[0055] exist Figure 8 In the example of FIG. 3 , the user selects “right elbow flexion and extension”, “right shoulder internal and external rotation”, “left elbow flexion and extension”, and “left shoulder internal and external rotation” from the selection list 303 .

[0056] Here, the right elbow flexion and extension movement can be measured based on the detection results of the sensor (111_1) installed on the right upper arm (part 20_1) and the sensor (111_2) installed on the right forearm (part 20_2). Similarly, the right shoulder internal and external rotation movement can be measured based on the detection results of the sensor (111_1) installed on the right upper arm (part 20_1) and the sensor (111_2) installed on the right forearm (part 20_2).

[0057] In addition, the flexion and extension movement of the left elbow can be measured based on the detection results of the sensor (111_6) installed on the left upper arm (part 20_6) and the sensor (111_7) installed on the left forearm (part 20_7). Similarly, the internal and external rotation movement of the left shoulder can be measured based on the detection results of the sensor (111_6) installed on the left upper arm (part 20_6) and the sensor (111_7) installed on the left forearm (part 20_7).

[0058] Therefore, in Figure 8 In the example, the parts "1", "2", "6", and "7" (parts 20_1, 20_2, 20_6, and 20_7) of the sensor installation target parts for measuring the "right elbow flexion and extension", "right shoulder internal and external rotation", "left elbow flexion and extension", and "left shoulder internal and external rotation" as the monitored object actions are highlighted. The following is an explanation of the case where "right elbow flexion and extension", "right shoulder internal and external rotation", "left elbow flexion and extension", and "left shoulder internal and external rotation" are selected as the monitored object actions.

[0059] Furthermore, when there is a powered-off sensor among the sensors used for measuring the target motion, the powered-off sensor (more specifically, the location where the powered-off sensor is mounted) may be highlighted and displayed.

[0060] Specifically, in Fig. 9 In the example, the sensor 111_1 is powered off, so the installation target part "1" (part 20_1) of the sensor 111_1 is highlighted. Thus, the user can power on the powered off sensor 111_1 or replace it with another sensor before starting measurement.

[0061] After the monitoring target action is designated (step S102 ) and the mounting target location of the sensor for measuring the monitoring target action is displayed (step S103 ), the sensor for measuring the monitoring target action is calibrated (step S104 ).

[0062] Calibration is, for example, a process of measuring the output value (error component) of a sensor used to monitor the movement of an object in a stationary state and subtracting the error component from the actual measured value. Here, the output value of the sensor becomes stable after about 20 seconds from when the sensor is stationary (see Fig.10 ). Therefore, in calibration, it is preferable that the output value of the sensor after a predetermined period (e.g., 20 seconds) has passed since the sensor was brought to rest is used as the error component. In this example, the output value of the sensor after a predetermined period has passed since the user provided an instruction to start calibration after the sensor was brought to rest is used as the error component. In the calibration process, it means the processing period until the error component is determined, and calibration completion means that the output value (error component) of the sensor in the rest state is determined.

[0063] During the calibration process, in the monitor 300, as shown in FIG. Fig.11 As shown, it is displayed "In the process of calibration. Please put the sensor on the table and do not move." When the calibration is completed, the monitor 300 is displayed as shown. Fig.12 As shown, "Calibration completed. Please install the sensor." etc. are displayed. In addition, the calibration process and the calibration completion are not limited to the case where they are displayed on the monitor 300, and other notification methods such as sound notification may be used to notify.

[0064] In this example, at least the sensors 111_1, 111_2, 111_6, and 111_7 are calibrated. However, calibration is not limited to the case where the calibration is performed on the sensors for measuring the motion of the monitoring target, and for example, calibration may be performed on all the sensors 111_1 to 111_11 before pairing processing.

[0065] After the calibration is completed, the sensor is 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 parts 20_1, 20_2, 20_6, and 20_7 of the subject P, respectively.

[0066] Thereafter, based on the detection results of each of the sensors 111_1 , 111_2 , 111_6 , and 111_7 , the motion of the monitored object is measured (step S106 ).

[0067] Fig.13 1 is a diagram showing an example of a screen displayed on the monitor 300 after calibration is completed and before measurement starts. Fig.14 1 is a diagram showing an example of a screen displayed on the monitor 300 during measurement.

[0068] like Fig.13 as well as Fig.14As shown, the monitor 300 displays at least a human body schematic diagram 301 of the subject, graphics 305_1 and 305_2 of the detection results of two sensors selected by the user (the sensing values ​​in the three-axis directions respectively), the startup status 306 and the remaining battery 307 of each sensor, and graphics 308_1 and 308_2 of the calculation results of the action states of the two monitored object actions selected by the user.

[0069] exist Fig.13 as well as Fig.14 In the example, the detection result of the sensor 111_1 installed at the part "1" (part 20_1) of the right upper arm is displayed as a graph 305_1, and the detection result of the sensor 111_6 installed at the part "6" (part 20_6) of the left upper arm is displayed as a graph 305_2. Fig.13 as well as Fig.14 In the example of FIG. 308 , the calculation result indicating the action state of “right elbow flexion and extension”, which is one of the monitored actions, is displayed as a graph 308_1, and the calculation result indicating the action state of “left elbow flexion and extension”, which is one of the monitored actions, is displayed as a graph 308_2. The display contents of these graphs can be arbitrarily selected by the user.

[0070] In addition, the graphs of the detection results of the four sensors 111_1, 111_2, 111_6, and 111_7 may all be displayed on the monitor 300. In addition, the graphs of the calculation results indicating the operation states of the four monitoring target operations may all be displayed on the monitor 300.

[0071] In addition, the graphics 308_1 and 308_2 indicating the motion status of the monitored motion may be displayed larger than the information related to the sensor (e.g., the activation status 306 of each sensor, the remaining battery level 307 of each sensor, the graphics 305_1 and 305_2 indicating the detection results of the sensor, etc.), so that the motion status of the subject P can be more easily visually recognized.

[0072] In addition, the calculation result indicating the action state of "right elbow flexion and extension" can be calculated, for example, based on the difference between the detection result of the sensor 111_1 attached to the right upper arm and the detection result of the sensor 111_2 attached to the right forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the action state of "right elbow flexion and extension" based on the detection results of the sensors 111_1 and 111_2 selected by the selection unit 121. Then, the output unit 123 as a display device graphically displays the calculation result generated by the calculation processing unit 122 on the monitor 300.

[0073] In addition, the calculation result indicating the action state of "left elbow flexion and extension" can be calculated, for example, based on the difference between the detection result of the sensor 111_6 attached to the left upper arm and the detection result of the sensor 111_7 attached to the left forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the action state of "left elbow flexion and extension" based on the detection results of the sensors 111_6 and 111_7 selected by the selection unit 121. Then, the output unit 123 as a display device graphically displays the calculation result generated by the calculation processing unit 122 on the monitor 300.

[0074] Similarly, the calculation result indicating the action state of "internal and external rotation of the right shoulder" can be calculated, for example, based on the difference between the detection result of the sensor 111_1 installed on the right upper arm and the detection result of the sensor 111_2 installed on the right forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the action state of "internal and external rotation of the right shoulder" based on the detection results of the sensors 111_1 and 111_2 selected by the selection unit 121. Then, the output unit 123 as a display device can make the calculation result generated by the calculation processing unit 122 graphically displayed on the monitor 300.

[0075] Similarly, the calculation result indicating the action state of "internal and external rotation of the left shoulder" can be calculated, for example, based on the difference between the detection result of the sensor 111_6 installed on the left upper arm and the detection result of the sensor 111_7 installed on the left forearm. Therefore, the calculation processing unit 122 generates the calculation result indicating the action state of "internal and external rotation of the left shoulder" based on the detection results of the sensors 111_6 and 111_7 selected by the selection unit 121. Then, the output unit 123 as a display device can make the calculation result generated by the calculation processing unit 122 graphically displayed on the monitor 300.

[0076] In this way, the motion state monitoring device 12 of the present embodiment and the training support system 1 equipped with the motion state monitoring device 12 output the calculation result representing the motion state of the subject based on the detection results of each of more than one sensor corresponding to the motion of the monitored object among the multiple sensors. Therefore, the motion state monitoring device 12 of the present embodiment and the training support system 1 equipped with the motion state monitoring device 12 can more accurately output the calculation result representing the motion state of the subject compared with the case of using the detection results of a group of sensors installed in one part. As a result, the user can effectively monitor the complex motion state of the subject. In addition, the user can know which part of the subject's body the sensor installed is used to monitor the motion state, so the quality of monitoring can be improved.

[0077] In addition, the order of processing of the training support system 1 is not limited to Figure 5 For example, calibration may be performed before pairing.

[0078] <Modification of Training Support System 1>

[0079] Fig.15 This is a block diagram showing a modified example of the training support system 1 as a training support system 1a. In the training support system 1a, compared with the training support system 1, each measuring device 11_1 to 11_11 is configured to be able to change the installation direction of the sensor. In addition, the training support system 1a does not include the action state monitoring device 12, but includes an action state monitoring device 12a. Compared with the action state monitoring device 12, the action state monitoring device 12a also includes an installation direction detection unit 124. As for the other structures of the action state monitoring device 12a, they are the same as those of the action state monitoring device 12, so their description is omitted.

[0080] Fig.16 1 is a diagram showing a configuration example of the measuring device 11_1 provided in the training support system 1a. Note that the measuring devices 11_2 to 11_11 are the same as the measuring device 11_1, and thus their description is omitted.

[0081] like Fig.16 As shown, in the measuring device 11_1, the sensor 111_1 can be installed in any orientation relative to the mounting pad 112_1. When the orientation of the sensor 111_1 when the length direction of the sensor 111_1 is installed along the circumferential direction of the belt 113_1 is set as the reference installation orientation (installation angle 0 degrees), for example, the sensor 111_1 can also be installed by rotating 90 degrees relative to the reference installation orientation. In addition to the detection result (sensing value) of the sensor 111_1, the measuring device 11_1 also sends information on the installation orientation of the sensor 111_1 relative to the reference installation orientation to the operation state monitoring device 12a.

[0082] The installation orientation detection unit 124 is configured to detect the information of the installation orientation of each of the sensors 111_1 to 111_11 relative to the reference installation orientation. The output unit 123 outputs the information of the installation orientation of the sensor detected by the installation orientation detection unit 124 together with the detection result of the sensor, or outputs the detection result of the sensor in a state in which the installation orientation of the sensor is taken into consideration. Thus, the user can more accurately grasp the detection result of the sensor.

[0083] As described above, the motion state monitoring device of the above embodiment and the training support system equipped with the motion state monitoring device output the calculation result representing the motion state of the subject based on the detection results of each of more than one sensor corresponding to the monitored object movement among multiple sensors. Therefore, the motion state monitoring device of the above embodiment and the training support system equipped with the motion state monitoring device can more accurately output the calculation result representing the motion state of the subject compared with the case of using the detection results of a group of sensors installed in one part. As a result, the user can effectively monitor the complex motion state of the subject. In addition, the user can know which part of the subject's body the sensor installed is used to monitor the motion state, so the quality of monitoring can be improved.

[0084] Furthermore, in the above-mentioned embodiment, the present disclosure is described as a hardware configuration, but the present disclosure is not limited thereto. The present disclosure can realize the control process of the operation state monitoring device by causing a CPU (Central Processing Unit) to execute a computer program.

[0085] In addition, the above program can be stored using various types of non-transitory computer readable media and provided to the computer. Non-transitory computer readable media include various types of tangible storage media. Non-transitory computer readable media include, for example, magnetic recording media, optical magnetic recording media, CD-ROM (Read Only Memory), CD-R, CD-R / W, and semiconductor memory. Magnetic recording media include, for example, flexible optical disks, magnetic tapes, hard disk drives, etc. Optical magnetic recording media include, for example, optical magnetic disks, etc. Semiconductor memories include, for example, mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, RAMs (Random Access Memory), etc. In addition, the program can also be provided to the computer via various types of transitory computer readable media (transitory computer readable medium). Examples of transitory computer readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer readable media can provide the program to the computer via wired communication paths such as wires and optical fibers or wireless communication paths.

[0086] From the disclosure thus described, it is obvious that the embodiments of the present disclosure may be modified in many ways. Such variations should not be regarded as departing from the spirit and scope of the present disclosure, and all modifications obvious to those skilled in the art are intended to be included within the scope of the appended claims.

Claims

1. An action status monitoring system, comprising: a display unit that displays a list of a plurality of subjects, a monitoring target action of each subject, and a schematic diagram of a human body showing a sensor installation target site, and further displays a selection list listing items of a more detailed monitoring target action of the selected subject in response to a user selecting a subject and a corresponding monitoring target action in the displayed list of a plurality of subjects; a selection unit, in response to a user designating one or more items of monitoring target actions in the selection list displayed on the display unit, selecting two or more sensors from among a plurality of sensors respectively corresponding to a plurality of parts of a body of a subject according to the designated one or more monitoring target actions, the display unit emphasizing the installation target parts of the selected two or more sensors in the human body schematic diagram, and emphasizing the parts where the powered-off sensors of the two or more sensors selected by the selection unit are installed, so that the user can turn on the powered-off sensors or replace them with other sensors before starting to measure the monitoring target actions of the two or more sensors; a calibration unit that calibrates the two or more sensors when the two or more sensors are in a stationary state to determine error components respectively corresponding to the two or more sensors, wherein output values ​​of the sensors after a predetermined period of time from when a user provides an instruction to start calibration after the sensors are stationary are used as the error components, and during the calibration, the display unit displays information for prompting the two or more sensors to be stationary, and after the calibration is completed, the display unit displays information for prompting the two or more sensors to be installed on the installation target site of the subject; an operation processing unit that generates an operation result indicating the motion state of the subject based on the detection results of the two or more sensors selected by the selection unit, wherein the operation result is determined by a difference between: (i) a first detection result obtained by subtracting a first error component of a first sensor from a second actual measurement value of the first sensor among the two or more sensors; and (ii) a second detection result obtained by subtracting a second error component of the second sensor from a second actual measurement value of a second sensor among the two or more sensors; and an output unit for outputting the calculation result of the calculation processing unit, The output unit further outputs information about one or more parts of the subject's body corresponding to the two or more sensors selected by the selection unit, information about the installation orientation of each of the two or more sensors relative to a reference installation orientation, and information about the remaining battery level of each of the two or more sensors.

2. The operating state monitoring system according to claim 1, wherein: The output unit further outputs information on the installation orientation of each of the two or more sensors selected by the selection unit relative to a reference installation orientation in association with the detection result of each of the two or more sensors selected by the selection unit.

3. The operating state monitoring system according to claim 1, wherein: The output unit is a display unit that displays the calculation result of the calculation processing unit larger than the information about the two or more sensors selected by the selection unit.

4. The operating state monitoring system according to claim 1, wherein: The output unit is a display unit that displays information on the one or more parts of the body of the subject corresponding to the two or more sensors selected by the selection unit, in addition to the calculation result of the calculation processing unit.

5. A training support system comprising: a plurality of measuring devices, each having the plurality of sensors corresponding to a plurality of parts of the subject's body; and An operation status monitoring system as claimed in any one of claims 1 to 4.

6. A control method for an action status monitoring system, comprising: a display step of displaying a list of a plurality of subjects, a monitoring target action of each subject, and a human body schematic diagram showing a sensor installation target site, and in response to a user selecting a subject and a corresponding monitoring target action in the displayed list of the plurality of subjects, further displaying a selection list listing items of more detailed monitoring target actions of the selected subject; In a selection step, in response to the user designating one or more monitoring target actions in the selection list displayed in the display step, two or more sensors are selected from a plurality of sensors corresponding to a plurality of parts of the subject's body according to the designated one or more monitoring target actions, wherein: In the display step, the installation target parts of the selected two or more sensors are highlighted in the human body schematic diagram, and the parts where the sensors whose power is turned off are installed are highlighted so that the user can turn on the power of the sensors whose power is turned off or replace them with other sensors before the start of the measurement of the monitored actions of the two or more sensors; a calibration step of calibrating the two or more sensors when the two or more sensors are in a stationary state to determine error components respectively corresponding to the two or more sensors, wherein output values ​​of the sensors after a predetermined period of time from when a user provides an instruction to start calibration after the sensors are stationary are used as the error components, and during the calibration, information for prompting the two or more sensors to be stationary is displayed, and after the calibration is completed, information for prompting the two or more sensors to be installed on the installation target part of the subject is displayed; an operation processing step of generating an operation result indicating the motion state of the subject based on the detection results of the selected two or more sensors, wherein the operation result is determined by the difference between: (i) a first detection result obtained by subtracting a first error component of a first sensor from a second actual measurement value of the first sensor among the two or more sensors; and (ii) a second detection result obtained by subtracting a second error component of the second sensor from a second actual measurement value of a second sensor among the two or more sensors; and an output step, outputting the operation result, In the output step, information about one or more parts of the subject's body corresponding to the two or more selected sensors, information about the installation orientation of each of the two or more sensors relative to a reference installation orientation, and information about the remaining battery level of each of the two or more sensors are further output.

7. A computer-readable storage medium storing a control program, the control program causing the computer to execute: display processing of displaying a list of a plurality of subjects, a monitoring target action of each subject, and a schematic diagram of a human body showing a sensor installation target site, and in response to a user selecting a subject and a corresponding monitoring target action in the displayed list of the plurality of subjects, further displaying a selection list listing items of a more detailed monitoring target action of the selected subject; A selection process, in response to a user designating one or more monitoring target actions in the selection list displayed in the display process, selecting two or more sensors from among a plurality of sensors corresponding to a plurality of parts of the subject's body according to the designated one or more monitoring target actions, wherein: In the display process, the installation target site of the selected two or more sensors is highlighted in the human body schematic diagram, and the site where the powered-off sensor is installed is highlighted, so that the user can turn on the powered-off sensor or replace it with another sensor before starting to measure the monitored action of the two or more sensors; a calibration process of calibrating the two or more sensors when the two or more sensors are in a stationary state to determine error components respectively corresponding to the two or more sensors, wherein output values ​​of the sensors after a predetermined period of time from when a user provides an instruction to start calibration after the sensors are stationary are used as the error components, and during the calibration process, information for prompting the two or more sensors to be stationary is displayed, and after the calibration is completed, information for prompting the two or more sensors to be installed on the installation target part of the subject is displayed; an operation process for generating an operation result representing the motion state of the subject based on the detection results of the selected two or more sensors, wherein the operation result is determined by the difference between: (i) a first detection result obtained by subtracting a first error component of a first sensor from a second actual measurement value of the first sensor among the two or more sensors; (ii) a second detection result obtained by subtracting a second error component of the second sensor from a second actual measurement value of a second sensor among the two or more sensors; and Output processing, outputting the operation result, In which, during the output processing, the control program further outputs information about one or more parts of the body of the subject corresponding to the two or more selected sensors, information about the installation orientation of each of the two or more sensors relative to a reference installation orientation, and information about the remaining battery level of each of the two or more sensors.

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