Motion state monitoring system, control method thereof, and control program

Abstract

To provide a motion state monitoring system that allows a sensor to be attached by allowing a sensor attaching position to be grasped smoothly, and to provide a control method and a control program thereof.SOLUTION: A motion state monitoring system that monitors a subject's motion according to a result of the detection from a plurality of sensors attached to each of a plurality of regions of the subject's body includes: a storage unit in which a motion to be monitored and a sensor attaching position are stored in association with each other; and a display control unit for displaying a sensor attaching position determined according to a designated motion to be monitored in a diagram simulating a human body by referring to the storage unit.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an operation status monitoring system, a control method thereof, and a control program thereof. [Background technology]

[0002] Patent Document 1 discloses a motion state monitoring system that monitors the motion state of a subject based on the detection results of a plurality of sensors attached to a plurality of parts of the subject's body. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-34448 Summary of the Invention [Problem to be solved by the invention]

[0004] In an operating condition monitoring system such as that of the related art, it is difficult to grasp the mounting position of a sensor corresponding to a measurement target.

[0005] The present disclosure has been made in consideration of the above background, and aims to provide an operating status monitoring system, a control method thereof, and a control program that enable a sensor to be installed by smoothly grasping the sensor installation position. [Means for solving the problem]

[0006] The operating status monitoring system according to the present disclosure comprises: A motion status monitoring system for monitoring a subject's motion according to detection results from a plurality of sensors attached to a plurality of parts of the subject's body, comprising: a storage unit in which the monitored motion and the mounting position of the sensor are stored in association with each other; a display control unit that refers to the storage unit and displays the attachment positions of the sensors determined according to the designated monitoring target motion on a diagram that resembles a human body; Equipped with.

[0007] The operational status monitoring system may further include a processing unit that associates the mounting position with the sensor based on an operation input for the displayed mounting position.

[0008] The operation input may be an operation input of dragging and dropping a sensor icon corresponding to the sensor onto the displayed attachment position.

[0009] The motion status monitoring system may further include a designation unit that designates the motion to be monitored in response to an operation input to a joint in the diagram that represents the human body.

[0010] When a plurality of monitored actions including a first monitored action and a second monitored action are specified, the display control unit may display a first attachment position determined according to the first monitored action and a second attachment position determined according to the second monitored action in different display modes.

[0011] The display control unit may move the illustration representing the human body based on a captured image of the subject.

[0012] The motion status monitoring system may further include a designation unit that extracts motion characteristics from a captured image of the subject using a machine learning model and designates the motion corresponding to the characteristics as the motion to be monitored.

[0013] The operational status monitoring system may further include a designation unit that designates the monitored operation based on a mounting position history of the sensor.

[0014] The control method for the operation status monitoring system according to the present disclosure includes: A control method for a motion monitoring system that monitors a subject's motion in response to detection results from a plurality of sensors attached to a plurality of parts of the subject's body, comprising: The system refers to a memory unit in which the monitored actions and the sensor attachment positions are stored in association with each other, and displays the sensor attachment positions determined according to the specified monitored action on a diagram that resembles a human body.

[0015] The control program according to the present disclosure includes: A control program for causing a computer to execute a control process in a motion status monitoring system for monitoring a subject's motion in response to detection results from a plurality of sensors attached to a plurality of parts of the subject's body, the control program comprising: The computer executes a process of referencing a memory unit in which the monitored action and the sensor attachment position are stored in association with each other, and displaying the sensor attachment position determined according to the specified monitored action on a diagram that resembles a human body. Effect of the Invention

[0016] The present disclosure makes it possible to provide an operation status monitoring system, a control method and a control program thereof, which enable a sensor to be attached by smoothly grasping the attachment position of the sensor. [Brief description of the drawings]

[0017] [Figure 1] 1 is a block diagram showing a configuration example of an operation state monitoring system according to a first embodiment; [Diagram 2] FIG. 2 is a diagram showing an example of a target attachment portion of a measuring device attached to a subject; [Diagram 3] FIG. 2 is a diagram illustrating a configuration example of a measuring instrument provided in the operation status monitoring system according to the first embodiment. [Figure 4] FIG. 4 is a diagram showing an example of how the measuring device shown in FIG. 3 is attached to a subject. [Diagram 5] FIG. 4 is a diagram showing an example of a display screen. [Figure 6] 2 is a flowchart showing the operation of the operation status monitoring system shown in FIG. 1. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] The present invention will be described below through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. In addition, not all of the configurations described in the embodiments are necessarily essential as means for solving the problems. For clarity of explanation, the following description and drawings are omitted and simplified as appropriate. In each drawing, the same elements are given the same reference numerals, and repeated explanations are omitted as necessary.

[0019] <Embodiment 1> Fig. 1 is a block diagram showing a configuration example of a motion state monitoring system 1 according to the first embodiment. The motion state monitoring system 1 is a system that monitors the motion state of a subject. Based on the monitoring results, a user such as a caregiver can provide support to bring the motion of the subject closer to a desired motion. A specific description will be given below.

[0020] As shown in FIG. 1, the operation state monitoring system 1 includes an operation state monitoring device 10 and a plurality of measuring instruments 20. The operation state monitoring device 10 can be referred to as an operation state monitoring system by itself. The operation state monitoring device 10 and the plurality of measuring instruments 20 are configured to be able to communicate with each other via a wired or wireless network. The operation state monitoring device 10 and the plurality of measuring instruments 20 may perform wireless communication conforming to the Bluetooth (registered trademark) standard, or short-distance wireless communication conforming to NFC (Near field communication), UWB (Ultra Wideband), WiFi (registered trademark), or the like. In this embodiment, an example will be described in which eleven measuring instruments 20 are provided. Hereinafter, the twenty measuring instruments 20 are also referred to as measuring instruments 20_1 to 20_11 to distinguish each other.

[0021] The measuring instruments 20_1 to 20_11 are attached to the parts p1 to p11 of the body of the subject P that are motion detection targets, respectively, and detect the motion of the parts p1 to p11 using motion sensors (hereinafter simply referred to as sensors) 21_1 to 21_11 including a gyro sensor, an acceleration sensor, etc. The measuring instruments 20_1 to 20_11 are associated with the parts p1 to p11, respectively, by a pairing process performed with the motion state monitoring device 10.

[0022] FIG. 2 is a diagram showing an example of target parts of the body of the subject P for the measuring devices 20_1 to 20_11. In the example of FIG. 2, target parts p1 to p11 for the measuring devices 20_1 to 20_11 are the right upper arm, the right forearm, the head, the chest (trunk), the waist (pelvis), the left upper arm, the left forearm, the right thigh, the right lower leg, the left thigh, and the left lower leg, respectively. It is not necessary to attach all of the measuring devices 20_1 to 20_11 to the body of the subject P. It is sufficient that only the measuring devices necessary to measure the monitoring target motion (including the movement of the body part) that the user wants to monitor are attached to the body of the subject P, among the measuring devices 20_1 to 20_11.

[0023] The monitored motions include, for example, right shoulder flexion and extension, right shoulder abduction and abduction, right shoulder internal and external rotation, right elbow flexion and extension, right forearm pronation and external rotation, head flexion and extension, head rotation, thoracic and lumbar flexion and extension, thoracic and lumbar rotation, thoracic and lumbar lateral bending, left shoulder flexion and extension, left shoulder abduction and abduction, left shoulder internal and external rotation, left elbow flexion and extension, left forearm pronation and external rotation, etc. The monitored motions also include the movement of the part itself to which the sensor is attached.

[0024] For example, the monitored motions include angles of joints in the body of the subject P measured based on the detection results of multiple sensors, and angles of joints in an arbitrary coordinate system measured based on the detection result of any one of the sensors. The monitored motions can be specified by a user such as a caregiver.

[0025] Here, as an example, the right elbow flexion and extension movement of the subject P is monitored. The right elbow flexion and extension movement can be measured based on the detection results of sensors attached to the right upper arm (site p1) and the right forearm (site p2). In this case, for example, two different measuring devices are attached to the right upper arm (site p1) and the right forearm (site p2) of the subject P, respectively.

[0026] The user may simultaneously select a plurality of different monitoring target motion items. For example, the user may select "right elbow flexion / extension" and "right shoulder internal / external rotation" or "left elbow flexion / extension" and "left shoulder internal / external rotation".

[0027] The right elbow flexion and extension movement can be measured based on the detection results of the sensors attached to the right upper arm (part p1) and the right forearm (part p2). Similarly, the right shoulder internal and external rotation movement can be measured based on the detection results of the sensors attached to the right upper arm (part p1) and the right forearm (part p2). Furthermore, the left elbow flexion and extension movement can be measured based on the detection results of the sensors attached to the left upper arm (part p6) and the left forearm (part p7). Similarly, the left shoulder internal and external rotation movement can be measured based on the detection results of the sensors attached to the left upper arm (part p6) and the left forearm (part p7).

[0028] (Example of configuration of measuring instruments 20_1 to 20_11) 3 is a diagram showing an example of the configuration of the measuring instrument 20_1. Note that the configurations of the measuring instruments 20_2 to 20_11 are similar to that of the measuring instrument 20_1, and therefore the description thereof will be omitted.

[0029] 3, the measuring device 20_1 has a sensor 21_1, an attachment pad 22_1, and a belt 23_1. The belt 23_1 is formed so as to be able to be wrapped around a motion detection target part of the subject P. The sensor 21_1 is incorporated in, for example, the attachment pad 22_1. The attachment pad 22_1 in which the sensor 21_1 is incorporated is formed so as to be able to be attached to and detached from the belt 23_1.

[0030] Fig. 4 is a diagram showing an example of how to attach the measuring device 20_1 to the subject P. In the example of Fig. 4, a belt 23_1 is wrapped around the right upper arm (part p1), which is one of the motion detection target parts of the subject P. The sensor 21_1 is attached to the belt 23_1 via the attachment pad 22_1 after the matching process, calibration, etc. are completed.

[0031] (Example of configuration of operation status monitoring device 10) The operating state monitoring device 10 is a device that outputs a calculation result representing the operating state of the subject P based on the detection results (sensing values) of the sensors 21_1 to 21_11. The operating state monitoring device 10 may be, for example, a PC (Personal Computer), a mobile phone terminal, a smartphone, a tablet terminal, or the like. The operating state monitoring device 10 may be configured to be able to communicate with the sensors 21_1 to 21_11 via a network (not shown). The operating state monitoring device 10 may also be called an operating state monitoring system. The operating state monitoring device 10 may include a processor and a memory in which various control programs are stored. In this case, the operating state monitoring device 10 has a function as a computer and performs processing based on various control programs, etc.

[0032] As shown in FIG. 1, the operational state monitoring device 10 includes a storage unit 11, a display unit 12, a designation unit 13, a display control unit 14, a reception unit 15, and a processing unit 16.

[0033] The storage unit 11 is realized by a computer-accessible storage device. The storage unit 11 stores the monitored motions and the sensor attachment positions in association with each other. For example, the right elbow flexion and extension motion is associated with the right upper arm (site p1) and the right forearm (site p2).

[0034] The display unit 12 is, for example, a display device, and displays a plurality of sensor icons corresponding to the plurality of sensors 21_1 to 21_11, respectively. Fig. 5 shows an example of a display screen S displayed on the display unit 12. An area of ​​the display screen S that displays the sensor icons is defined as a sensor icon display area S1. The display screen including the sensor icon display area S1 includes a human body schematic diagram S2 showing the parts to which the sensors are to be attached. The display screen S shown in Fig. 5 is displayed when performing a process of associating one of the plurality of sensors 21 with one of the parts p of the subject P to which the sensors are to be attached, on a one-to-one basis.

[0035] In the example shown in Fig. 5, the front side and the back side of the human body are displayed separately. The parts p1 to p11 of the attachment target of the subject P in Fig. 2 correspond to p_1 to p_11 in the human body schematic diagram S2 in Fig. 5, respectively. Hereinafter, p_1 to p_11 in the human body schematic diagram S2 will be referred to as the right upper arm, right forearm, head, back (trunk), waist (pelvis), left upper arm, left forearm, right thigh, right lower leg, left thigh, and left lower leg, respectively, as necessary. In addition, the display unit 12 can display, for example, a graph of the calculation result based on the detection result of each of one or more sensors.

[0036] 1, the designation unit 13 designates a motion of the subject to be monitored. The designation unit 13 may designate a plurality of motions to be monitored.

[0037] The designation unit 13 may designate the motion to be monitored in response to an input operation by the user. For example, when the display screen S includes a selection list in which items of the motion to be monitored (e.g., right shoulder flexion and extension, right shoulder abduction and inversion, etc.) are listed, the designation unit 13 may designate the motion to be monitored selected by the user.

[0038] Furthermore, the designation unit 13 may designate the motion to be monitored according to an input operation on a joint in the human body schematic diagram S2. Specifically, the designation unit 13 may designate the motion to be monitored related to a joint tapped by the user. For example, when the user taps the right elbow in the human body schematic diagram S2, the designation unit 13 may designate right elbow flexion and extension as the motion to be monitored. When there are multiple motions related to the tapped joint, the designation unit 13 may designate the motion to be monitored further based on an input operation indicating a rotation direction around the joint, etc.

[0039] The designation unit 13 may also determine the motion to be monitored based on the sensor attachment position history. The designation unit 13 may designate the motion associated with the previous attachment position as the motion to be monitored, or may designate the motion associated with the attachment position where the sensor has been attached the most times as the motion to be monitored. In addition, when there are multiple motions related to the joint tapped by the user, the designation unit 13 may designate the motion to be monitored taking into account the sensor attachment position history.

[0040] The designation unit 13 may extract characteristics of actions from a captured image of the subject P using a machine learning model, and designate an action corresponding to the characteristics as a monitoring target action. The monitoring target action can be designated by the subject P performing an action similar to the monitoring target action. The designation unit 13 may also designate a monitoring target action based on information input by the user in the form of voice or text. In this case, the designation unit 13 may use a large-scale language model.

[0041] The display control unit 14 refers to the storage unit 11 and causes the display unit 12 to display the attachment site associated with the specified action to be monitored. For example, the display control unit 14 may highlight the attachment site associated with the action to be monitored in a display mode (e.g., color, blinking, shading, etc.) different from that of other sites. When a plurality of actions to be monitored are specified, the display control unit 14 may display the attachment site (also referred to as the first site) associated with the first action to be monitored and the attachment site (also referred to as the second site) associated with the second action to be monitored in different display modes (e.g., blinking speed). The display control unit 14 may make the thickness of the line surrounding the first site different from the thickness of the line surrounding the second site. The display control unit 14 may also make the size of the displayed sites different.

[0042] For example, when a right elbow flexion and extension movement is specified, as shown in FIG. 5, p_1 corresponding to the right upper arm (site p1) and p_2 corresponding to the right forearm (site p2) are highlighted.

[0043] The display control unit 14 may move the human body schematic diagram S2 based on the captured image of the subject P. The user can smoothly grasp the relationship between the human body schematic diagram S2 and the body of the subject P.

[0044] The above-mentioned multiple sensor icons are selected by the user to associate the sensor 21 with the site p to which the sensor is to be attached. The reception unit 15 receives a setting operation for the sensor icon displayed on the display unit 12. The setting operation is an input operation for the sensor icon to associate the sensor corresponding to the sensor icon with any of the sites p to which the sensor is to be attached. For example, the user moves the sensor icon i21_1 displayed in the sensor icon display area S1 to the right upper arm p_1 on the human body schematic diagram S2. Specifically, the user drags and drops the sensor icon i21_1 displayed in the sensor icon display area S1 to the right upper arm p_1 on the human body schematic diagram S2 by a mouse operation, a touch operation, or the like. This setting operation is indicated by a dotted line in FIG. 5. As a result, the reception unit 15 receives the setting operation for the sensor icon by the user. Since p_1 and p_2 are highlighted, the user can smoothly perform the setting operation.

[0045] 1, in response to the setting operation, the processing unit 16 associates the sensor corresponding to the sensor icon with the attachment target part of the subject P. This association process is performed by pairing the operation state monitoring device 10 and the sensor 21 in advance, and linking the identification information of the attachment target part p with the identification information of the sensor 21 on the application of the operation state monitoring device 10.

[0046] By displaying (for example, highlighting) the attachment site associated with the monitored action, the motion status monitoring system 1 according to the first embodiment makes it possible to smoothly grasp the attachment position of the sensor and attach the sensor.

[0047] The setting operation is not limited to drag and drop. The setting operation may be any operation input for the displayed attachment position. The reception unit 15 may receive the setting operation by the user clicking the sensor icon displayed in the sensor icon display area S1 and the attachment target part in the human body schematic diagram S2 within a predetermined time.

[0048] Alternatively, the user may click on a target part of the human body schematic diagram S2 to cause the reception unit 15 to receive a setting operation. In response to the setting operation, the processing unit 16 can automatically associate any one of the sensors corresponding to the multiple sensor icons displayed on the display unit 12 with the target part p of the subject P.

[0049] (Operation of the operation status monitoring device 10) Next, the operation of the motion state monitoring device 10 will be described with reference to Fig. 6. Fig. 6 is a flowchart showing the operation of the motion state monitoring device 10. Here, as described above, it is assumed that the motion of bending and extending the right elbow of the subject P is monitored by the motion state monitoring device 10. That is, sensors are attached to the right upper arm (site p1) and the right forearm (site p2) of the subject P, respectively. It is assumed that the motion to be monitored and the attachment positions of the sensors are stored in the storage unit 11 in association with each other.

[0050] First, the operational state monitoring device 10 causes the display unit 12 to display a plurality of sensor icons i21_1 to i21_11 corresponding to the plurality of sensors, respectively (S11).

[0051] The display unit 12 displays a display screen including a sensor icon display area S1 and a human body schematic diagram S2 showing target attachment sites, as shown in FIG.

[0052] Next, the designation unit 13 of the motion state monitoring device 10 designates the motion to be monitored (S12). The designation unit 13 may designate, for example, the bending and straightening of the right elbow selected by the user as the motion to be monitored.

[0053] The display unit 12 displays the target body parts for attaching the sensors used to measure the specified motion to be monitored. In the human body schematic diagram S2, the display unit 12 highlights the right upper arm p1 and the right forearm p2 in a display mode (color, blinking, shading, etc.) different from the other body parts p3 to p11. That is, in the human body schematic diagram S2 of FIG. 5, the right upper arm p1 and the right forearm p2 are displayed in a different mode from the other body parts p3 to p11.

[0054] Then, in the motion state monitoring device 10, the user drags and drops, for example, one sensor icon i21_1 from among the sensor icons i21_1 to i21_11 displayed in the sensor icon display area S1 onto the right upper arm p_1 of the human body schematic diagram S2. This causes the accepting unit 15 to accept the setting operation (S13).

[0055] Thereafter, the operating state monitoring device 10 links the identification information of the sensor 21_1 corresponding to the sensor icon i21_1 with the identification information of the right upper arm (site p1) of the subject P to which the sensor is to be attached, in accordance with the setting operation. This results in a process of associating the sensor 21_1 with the right upper arm (site p1) of the subject P (S14). Note that similarly, for another attachment site (right forearm (site p2)), the sensor icon i21_2 is dragged and dropped, and the process of associating the sensor 21_2 with the right forearm (site p2) of the subject is performed. That is, S12 and S13 in FIG. 6 can be repeated the number of times corresponding to the number of attachment sites of the subject.

[0056] After the sensor 21_1 and the attachment target part p1, and the sensor 21_2 and the attachment target part p2 are associated with each other, the sensors 21_1 and 21_2 used to measure the monitored motion are calibrated (S15). The calibration is, for example, a process of measuring an output value (error component) of the sensor used to measure the monitored motion in a stationary state and subtracting the error component from an actual measurement value. In this example, calibration is performed on at least the sensors 21_1 and 21_2. However, the calibration is not limited to the case where it is performed on the sensor used to measure the monitored motion, and may be performed on all the sensors 21_1 to 21_11, for example, before a process of displaying a sensor icon corresponding to a paired sensor.

[0057] After the calibration is completed, the sensors 21_1 and 21_2 are attached to the subject P (S16). Then, the motion to be monitored is measured based on the detection results of the sensors 21_1 and 21_2 (S17).

[0058] The calculation result showing the motion state of "right elbow flexion and extension" can be calculated by the difference between the detection result of the sensor 21_1 attached to the right upper arm (site p1) of the subject P and the detection result of the sensor 21_2 attached to the right forearm (site p2). The motion state monitoring device 10 generates a calculation result showing the motion state of "right elbow flexion and extension" based on the detection results of the sensors 21_1 and 21_2. The display unit 12 displays details of the measurement result (e.g., a graph of the measurement result, etc.).

[0059] In this way, the motion status monitoring system according to the present embodiment displays the attachment sites associated with the designated monitoring target motions on the schematic human body diagram, which allows the user to smoothly grasp the attachment positions of the sensors and attach the sensors.

[0060] The order of the processes of the operational state monitoring system 1 is not limited to the order of the processes shown in Fig. 6. For example, calibration may be performed before the display process of the sensor icon corresponding to the paired sensor.

[0061] When the monitored operation and the sensor mounting position are associated and stored in an external server, etc., the operation status monitoring device 10 may temporarily receive information from the external server, etc., and store the received information in a memory unit 11 of the operation status monitoring device 10 which has a temporary memory storage function.

[0062] The operating state monitoring device 10 may be a PC, but may also be a server that is not necessarily a personal computer.

[0063] Furthermore, in the present disclosure, a part or all of the processing of the operational state monitoring system 1 can be realized by causing a CPU (Central Processing Unit) to execute a computer program.

[0064] The above-mentioned program includes a set of instructions (or software code) for making the computer perform one or more functions described in the embodiment when the program is loaded into the computer. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or the tangible storage medium includes a random-access memory (RAM), a read-only memory (ROM), a flash memory, a solid-state drive (SSD) or other memory technology, a CD-ROM, a digital versatile disc (DVD), a Blu-ray® disk or other optical disk storage, a magnetic cassette, a magnetic tape, a magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or a communication medium. By way of example and not limitation, the transitory computer-readable medium or the communication medium includes an electrical, optical, acoustic, or other form of propagating signal. [Explanation of symbols]

[0065] 1 Operation status monitoring system 10. Operation status monitoring device 11 Storage section 12 Display section 13 Specified part 14 Display control section 15 Reception 20 Measuring Instruments 20_1~20_11 Measuring Instruments 21 Sensors 21_1~21_11 Sensor 22_1 Pad 23_1 Belt P Subject p1~p11 site S display screen S1 Sensor icon display area S2 Human body schematic diagram

Claims

1. A motion status monitoring system for monitoring a motion of a subject in accordance with detection results from a plurality of sensors attached to a plurality of parts of the subject's body, comprising: a storage unit in which the monitored motion and the mounting position of the sensor are stored in association with each other; a display control unit that refers to the storage unit and displays the attachment positions of the sensors determined according to the designated monitoring target motion on a diagram that resembles a human body; An operating condition monitoring system comprising:

2. a processing unit that associates the mounting position with the sensor based on an operation input for the displayed mounting position; The operating condition monitoring system according to claim 1 , further comprising:

3. The operation input is an operation input of dragging and dropping a sensor icon corresponding to the sensor onto the displayed mounting position. The operating condition monitoring system according to claim 2 .

4. A designation unit that designates the monitoring target motion in response to an operation input to a joint in the diagram simulating the human body. The operating condition monitoring system according to claim 1 or 2, further comprising:

5. When a plurality of monitored actions including a first monitored action and a second monitored action are specified, the display control unit displays a first attachment position determined in accordance with the first monitored action and a second attachment position determined in accordance with the second monitored action in different display modes.

3. The operating state monitoring system according to claim 1 or 2.

6. The display control unit moves the figure simulating the human body based on the captured image of the subject.

3. The operating state monitoring system according to claim 1 or 2.

7. a designation unit that extracts motion characteristics from the captured image of the subject using a machine learning model and designates the motion corresponding to the characteristics as the motion to be monitored; The operating condition monitoring system according to claim 1 or 2, further comprising:

8. A designation unit that designates the monitoring target operation based on the mounting position history of the sensor. The operating condition monitoring system according to claim 1 or 2, further comprising:

9. A control method for a motion monitoring system that monitors a subject's motion in response to detection results from a plurality of sensors attached to a plurality of parts of the subject's body, comprising: The sensor attachment positions determined according to the designated monitoring target motion are displayed on a diagram simulating a human body by referring to a storage unit in which the monitoring target motion and the sensor attachment positions are stored in association with each other. A method for controlling an operational status monitoring system.

10. A control program for causing a computer to execute a control process in a motion monitoring system for monitoring a subject's motion in accordance with detection results from a plurality of sensors attached to a plurality of parts of the subject's body, the control program comprising: A process of referencing a storage unit in which the monitored motion and the sensor attachment positions are stored in association with each other, and displaying the sensor attachment positions determined according to the specified monitored motion on a diagram that resembles a human body. A control program that causes a computer to execute the above.

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