JP7182275B2 - Motion judgment system - Google Patents

Description

Application of Patent Act Article 30, Paragraph 2 Published October 16, 2018 https://prtimes. jp/main/html/rd/p/000000014.000006831. html

Application of Patent Act Article 30, Paragraph 2 Published October 15, 2018 https://www. youtube. com/watch? v=zaop4uwGgBQ

Application of Article 30, Paragraph 2 of the Patent Act Published October 16, 2018 https://first-vr. com/pressrelease-firstvr-ai-excercise/

Application of Patent Act Article 30, Paragraph 2 Released from October 16 to October 18, 2018 https://www. facebook. com/firstvrh21/posts/273009126686128/https://www. facebook. com/firstvrh21/posts/274928623147185/https://www. facebook. com/firstvrh21/posts/544074456040915/

Application of Patent Law Article 30, Paragraph 2 Released from October 16 to October 18, 2018 https://twitter. com/FirstVRoffice/status/1051989879167565825 https://twitter. com/FirstVRoffice/status/1052040178129195009 https://twitter. com/FirstVRoffice/status/1052152515364442113 https://twitter. com/FirstVRoffical/status/1052764409402089477

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an exercise determination system that determines whether or not a person's exercise is being performed correctly.

In order for people to maintain and improve their health, it is recommended that they exercise moderately during their daily lives. For this reason, sports gyms, public exercise facilities, etc. are established and used by many people.

The inventors previously proposed an electrical stimulation device as described in Patent Document 1. The electrical stimulator proposed in this Patent Document 1 is a device in which a plurality of electrodes are attached to a band worn on a user's forearm to provide electrical stimulation to the muscles of the forearm.
Furthermore, the inventors have developed a new electrical stimulator equipped with a plurality of infrared sensors for detecting muscle bulges, as described in Non-Patent Document 1.

JP 2014-104241 A

"Impact of shooting a gun, 'Jiwa' on the fingertip" myoelectric stimulation controller Unlimited Hand" ASCII.JP x Digital, viewed May 12, 2016, June 27, 2017 <http://ascii.jp/elem/ 000/001/161/1161772/>

For leg motions such as walking and running, it is relatively easy to detect, integrate, and display the user's amount of exercise using a machine typified by a treadmill, also known as a running machine.
However, until now there has been no machine that correctly detects whether a squat has been performed successfully.
A squat is an exercise that trains the muscles of the whole body without walking or running, and a low-cost system that can precisely detect whether a squat is performed normally is being used in sports gyms and public exercise facilities. is desired.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an exercise determination system that can precisely detect whether or not a squat is performed normally using a low-cost device.

In order to solve the above problems, the exercise determination system of the present invention comprises a muscle sensor device worn on the body surface of a user's body part, and an exercise detection device that performs short-range wireless communication with the muscle sensor device.
The muscle sensor device includes a belt that wraps around the user's body surface, a plurality of muscle displacement sensors that are provided on the belt and that are photoreflectors composed of infrared LEDs and photosensors, and a muscle displacement sensor that is provided in the vicinity of the muscle displacement sensor. , a gyro sensor that detects the posture and motion of the user's body parts, a short-range wireless transmitter that transmits muscle displacement data obtained from the muscle displacement sensor, quaternion data obtained from the gyro sensor, and three-dimensional acceleration data. and
The motion detection device includes a short-range wireless receiver that receives radio waves transmitted from a short-range wireless transmitter and demodulates muscle displacement data, quaternion data, and three-dimensional acceleration data; and a training pattern detection unit for detecting whether or not the user has normally performed a predetermined training based on the number data and the three-dimensional acceleration data.

According to the present invention, it is possible to finely detect whether or not the user has performed the squat normally by using a low-cost device.
Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

1 is a schematic diagram showing the overall configuration and usage of a motion determination system according to an embodiment of the present invention; FIG. 1 is an external perspective view of a muscle sensor device; FIG. It is a block diagram which shows the hardware constitutions of a muscle sensor apparatus. It is a block diagram which shows the hardware constitutions of a motion detection apparatus. FIG. 2 is a block diagram showing the software functionality of the muscle sensor device and motion detection device; FIG. 4 is a block diagram showing software functions of a squat pattern detection unit; It is a figure which shows an example of an arm rotation table. FIG. 4 is a schematic diagram showing a state in which a user wearing a muscle sensor device performs a squat;

[Exercise Judgment System 101: Overall Configuration]
FIG. 1 is a schematic diagram showing the overall configuration and usage of an exercise determination system 101 according to an embodiment of the present invention.
A motion determination system 101 is composed of a muscle sensor device 102 and a motion detection device 103 .
A user 104 wraps the muscle sensor device 102 around his or her arm. Then, the muscle sensor device 102 and the exercise detection device 103, which is a known wireless terminal such as a smart phone or a tablet PC, establish wireless communication such as BlueTooth (registered trademark), and then perform squats. Then, the muscle sensor device 102 detects the state of the arm muscles of the user 104 and the coordinate information indicating the arm posture and the acceleration indicating arm motion obtained from the built-in gyro sensor 312 (see FIG. 3). 103.

The exercise detection device 103 determines whether or not the user 104 has correctly performed a squat based on the state of the arm muscles of the user 104, acceleration, coordinate information, and the like.
When the exercise detection device 103 determines that the user 104 has correctly performed the squat, the touch panel display 105 displays an animation V106 based on physical calculation.

[Muscle sensor device 102: Appearance]
FIG. 2A is an external perspective view of the surface side of muscle sensor device 102 that is an example of an embodiment of the present invention. FIG. 2B is an external perspective view of the back side of muscle sensor device 102 that is an example of an embodiment of the present invention. The muscle sensor device 102 is roughly composed of a body portion 201 , a front side belt 202 and a back side belt 203 .
A power switch 204 is provided in the center of the main body 201, and a microcomputer including a short-range wireless communication section, a gyro sensor 312 and the like, an electronic circuit, and a lithium secondary battery are housed inside.

The front belt 202 covers the main body 201 and constitutes the entire belt portion of the muscle sensor device 102 . A buckle 205 is provided at one end of the front belt 202 , and a plurality of holes 206 corresponding to the buckles 205 are provided at the other end. This buckle 205 and hole 206 serve to keep the back belt 203 in close contact with the user's 104 arm.
The back belt 203 is provided with a plurality of detection holes 207 for muscle displacement sensors. The muscle displacement sensor constitutes a photoreflector consisting of a set of a near-infrared LED and a photosensor such as a phototransistor. Details will be described later with reference to FIG.

[Muscle sensor device 102: hardware configuration]
FIG. 3 is a block diagram showing the hardware configuration of the muscle sensor device 102. As shown in FIG.
A CPU 302, a ROM 303, a RAM 304, an A/D converter 305, and a second serial interface 306 (abbreviated as “second serial I/F” in FIG. 3) connected to the bus 301 include a known one-chip microcomputer 307 Configure.
The anodes of the infrared light emitting elements 321a, 322a, . The cathodes of the infrared light emitting elements 321a, 322a . . . 335a are connected through the first multiplexer 308 to one end of the current limiting resistor R309. The other end of the current limiting resistor R309 is grounded.
. . 335 are collectively referred to as a muscle displacement sensor group 340 without distinction.

The collectors of the infrared light receiving elements 321b, 322b, . . . 335b, which are phototransistors constituting the muscle displacement sensors 321, 322, . 335b are connected to the A/D converter 305 through the second multiplexer 310 and grounded through resistors R311a, R311b, . . . R311h.

The first multiplexer 308 and the second multiplexer 310 receive a control signal from the second serial interface 306, and are periodically switched and controlled, so that the A/D converter 305 receives eight muscle displacement sensors in a time division manner. Voltage signals 321, 322 . . . 335 are input.
The first multiplexer 308 and the second multiplexer 310 select one of the plurality of muscle displacement sensors 321, 322...335.
Collectively, first multiplexer 308 and second multiplexer 310 may be referred to as sensor multiplexers.

A well-known gyro sensor 312 and a short-range wireless communication unit 313 are also connected to the bus 301 of the one-chip microcomputer 307 . . . , 335 to the movement detection device 103 through the short-range wireless communication unit 313. FIG.
A first serial interface 314 (abbreviated as “first serial I/F” in FIG. 3) is further connected to the bus 301 of the one-chip microcomputer 307 . The first serial interface 314 is used not only for updating the firmware stored in the ROM 303, but also for supplying power to a storage battery (not shown).

The muscle displacement sensor group 340 irradiates the skin with near-infrared rays using an infrared LED and receives the reflected light with a phototransistor, thereby detecting the tense state of the muscles as an analog signal. That is, the change in the distance from the surface on which the muscle displacement sensor is arranged to the surface of the arm muscles is detected.
When the muscle contracts, the bumps that form on the part of the skin where the muscle resides change the distance between the photoreflector and the surface portion of the muscle. The photoreflector uses a phototransistor to detect the intensity of the reflected near-infrared light caused by this distance variation. Since near-infrared rays have the property of penetrating the skin surface, they are suitable for detecting muscle protuberances.

[Movement detection device 103: hardware configuration]
FIG. 4 is a block diagram showing the hardware configuration of the motion detection device 103. As shown in FIG.
The motion detection device 103, which is a wireless terminal such as a well-known smartphone or tablet PC, includes a CPU 402, a ROM 403, a RAM 404, a display unit 405, which is an LCD display, and an electrostatic position detection device having transparent electrodes, which are connected to a bus 401. and an operation unit 406 including The display unit 405 and the operation unit 406 constitute the well-known touch panel display 105 .
The bus 401 is also connected to a non-volatile storage 407 such as an electrically rewritable flash memory and a short-range wireless communication unit 408 .
The nonvolatile storage 407 stores a network OS and a program for causing the wireless terminal to function as the motion detection device 103 .

[Motion detection device 103: software function]
FIG. 5 is a block diagram showing the software functionality of the muscle sensor device 102 and motion detection device 103. As shown in FIG.
A signal output from the muscle displacement sensor group 340 of the muscle sensor device 102 is converted into digital muscle displacement data by the A/D converter 305 .
The gyro sensor 312 of the muscle sensor device 102 has a built-in microcomputer 501, and the microcomputer 501 outputs quaternion data and three-dimensional acceleration data.
A quaternion is a standard data output format for the gyro sensor 312 in recent years, representing the attitude of an article.
The muscle displacement data, the quaternion data, and the acceleration data are modulated by the short-range wireless transmission unit 502 and transmitted to the motion detection device 103 .

The short-range wireless reception unit 503 of the exercise detection device 103 receives radio waves transmitted from the muscle sensor device 102 and demodulates muscle displacement data, quaternion data, and acceleration data.
Muscle displacement data is input to comparator 505 through demultiplexer 504 . A comparator 505 compares the muscle displacement data input to the plus side input terminal with a muscle displacement threshold value 506 . If the muscle displacement data is greater than or equal to the muscle displacement threshold value 506, a logical "true" is output, and in the opposite case, a logical "false" is output.

The logic value data output from comparator 505 is recorded in flag memory 508 through multiplexer 507 . The output of flag memory 508 is input to OR gate 509 . Therefore, when the muscle displacement data of any one of the muscle displacement sensor groups 340 provided is greater than or equal to the muscle displacement threshold value 506, the OR gate 509 outputs logical "true".
The output logical value of the OR gate 509 is input to the squat pattern detection section 510 .

[Squat pattern detector 510]
Next, the processing of squat pattern detection section 510 will be described with reference to FIG.
FIG. 6 is a block diagram showing software functions of the squat pattern detection unit 510. As shown in FIG.
The quaternion data is input to the initial posture detection unit 601 . The initial attitude detection unit 601 compares the initial attitude data 602 and the quaternion data, and outputs a logical "true" when the quaternion data falls within the numerical range indicated by the initial attitude data 602. .
The initial posture detection unit 601 has a built-in latch function, and once it outputs logic "true", it maintains the logic output "true" until a reset pulse is input.
The initial posture data 602 contains quaternion data indicating the arm positions of the user 104 at the initial stage of the squat. A logical value of the initial posture detection unit 601 is input to a squat determination unit 603 composed of an AND gate.

The logical value of initial posture detection section 601 is also input to arm rotation inspection section 604 as a start pulse.
The arm rotation inspection unit 604 is activated when the logical value of the initial posture detection unit 601 becomes logic “true”, and reads the quaternion data and the arm rotation table 605 . Arm rotation inspection unit 604 receives time information output from timer 606 and inspects whether the arm rotation state is within the range of values recorded in arm rotation table 605 .

If the user's 104 arm rotates within the range of angles described in the arm rotation table 605 within a predetermined time, the arm rotation inspection unit 604 considers that the user's 104 squat motion has been successfully completed. A logical “true” is output to the squat determination unit 603 . This logic "true" is maintained until a reset pulse ("A" in FIG. 6) is given.
If the arm rotation of the user 104 cannot be rotated within the range of angles described in the arm rotation table 605 within a predetermined period of time, the arm rotation inspection unit 604 determines that the user 104 has failed to complete the squat motion. As a result, it outputs a logical "true" to the OR gate 607 .
The logic value of arm rotation inspection section 604 is input to squat determination section 603 and also to AND gate 608 .

The logical value of the initial attitude detection unit 601 is also input to the descent amount calculation unit 609 as a start pulse.
The descent amount calculation unit 609 is activated when the logical value of the initial posture detection unit 601 becomes logically "true", and reads three-dimensional acceleration data. After squaring the three-dimensional accelerations and adding them, the square root is calculated to convert them into scalar acceleration data. Then, the acceleration data of the scalar value is integrated twice to calculate the amount of descent of the muscle sensor device 102 . The descent amount calculator 609 continues the integration operation twice until a reset pulse (“B” in FIG. 6) is given. The descent amount data output from the descent amount calculator 609 is input to the comparator 610 . The comparator 610 compares the descending amount data with the descending amount threshold 611 and outputs a logic "true" when the descending amount data is greater than or equal to the descending amount threshold 611 .

The logic value of the comparator 610 is input to the squat determination section 603 , is logically inverted, and is also input to the AND gate 608 . A logical value of the arm rotation inspection unit 604 is also input to the AND gate 608 . That is, the AND gate 608 outputs a logical "true" when the logical value of the comparator 610 outputs a logical "false" while the arm rotation inspection unit 604 outputs a logical "true". .
The logical value of AND gate 608 is input to OR gate 607 . That is, when the AND gate 608 outputs a logic "true", it is given as a reset pulse to the initial posture detection section 601, the arm rotation detection section 604, and the descent amount calculation section 609 via the OR gate 607. FIG.

The squat determination unit 603 is an AND gate, and to the squat determination unit 603, the logical value output of the initial posture detection unit 601, the logical value output of the arm rotation inspection unit 604, the logical value output of the comparator 610, and the OR gate 607 are output. A muscle displacement logic value output is input. That is, when all of these logical values are logically "true", the squat determination unit 603 outputs logically "true".
However, after the muscle displacement logical value is logically inverted, a logical “true” is input as a reset pulse to the reset terminal of the initial posture detection section 601 via the OR gate 607 . Therefore, when the outputs of the muscle displacement sensor group 340 are all less than the muscle displacement threshold value 506, the initial posture detection unit 601 changes to logic "false". Furthermore, since this reset pulse is also input to the arm rotation inspection unit 604 and the descent amount calculation unit 609 as reset pulses, these are also reset.
Also, when the squat determination unit 603 outputs logical “true”, this output is input to the delay 612 . A delay 612 outputs a reset pulse after a predetermined time has passed since the squat determination unit 603 outputs logical "true".

Furthermore, as described above, when the arm rotation inspection unit 604 determines that the arm rotation of the user 104 has not been performed normally, it outputs a logical “true” to the OR gate 607 . Therefore, a reset pulse is input to the reset terminals of the initial posture detection unit 601, the descent amount calculation unit 609, and the arm rotation inspection unit 604 itself.
In addition, if the logical value of the comparator 610 outputs a logical "false" while the arm rotation inspection unit 604 outputs a logical "true", the user 104's arm rotation motion is normal. It means that the amount of descent was less than the descent amount threshold 611 even though it was performed. Therefore, the logic "true" is output to the OR gate 607 through the AND gate 608 .

That is, first, when the initial posture detection unit 601 determines that the arm positions of the user 104 are within the range described in the initial posture data 602, the squat pattern detection unit 510 determines that the squat is started. Thereafter, when it is detected that the user's 104 arm motion meets the following conditions, it is determined that the user 104 has successfully performed the squat.
(1) From the start of the squat to the end of the squat, any one or more muscle displacement data must be maintained at or above the muscle displacement threshold 506 .
This determination is made based on the muscle displacement logical value.
(2) The rotation of the arm of the user 104 has been completed within the range of the quaternion described in the arm rotation table 605 .
This determination is made by the arm rotation inspection unit 604 .
(3) The amount of descent of the muscle sensor device 102 worn on the arm of the user 104 is equal to or greater than the descent amount threshold value 611 .
This determination is made by the descent amount calculator 609 and the comparator 610 .

Conversely, under any one of the following conditions, it is determined that the squat was not performed normally, a reset pulse is output, and subsequent squat detection operations are interrupted.
(1) When all the muscle displacement data are less than the muscle displacement threshold value 506 from the start of the squat to the end of the squat, even for a moment.
(2) when the rotational movement of the arm of the user 104 is out of the range of the quaternions described in the arm rotation table 605;
(3) When the arm rotation of the user 104 is completed within the range of the quaternion described in the arm rotation table 605, the amount of descent of the muscle sensor device 102 attached to the arm of the user 104 reaches the descent amount threshold. When less than 611.

FIG. 7 is a diagram showing an example of the arm rotation table 605. As shown in FIG.
The arm rotation table 605 has a time field, an X-axis field, an X-axis error field, a Y-axis field, a Y-axis error field, a Z-axis field, a Z-axis error field, a W-axis field, and a W-axis error field.
The time field stores the time that has elapsed since the arm of the user 104 started rotating.
The X-axis field stores the standard value on the X-axis of the quaternion of the arm position information of the user 104 at the time stored in the Time field.
The X-axis error field stores the allowable error range for standard values of the X-axis of the quaternion in the arm position information of the user 104 at the time stored in the Time field.
Similar values are stored in the Y-axis field, the Y-axis error field, the Z-axis field, the Z-axis error field, the W-axis field, and the W-axis error field.

Each record in the arm rotation table 605 is the arm posture and error range set for the "three-dimensional angle of the arm itself" at each time described in the time field. In other words, the arm rotation table 605 describes the “trajectory of the correct three-dimensional angle (quaternion)” itself for each time. are described.
The arm rotation inspection unit 604 determines whether the measurement result measured at each time is within the error range.
For example, in FIG. 7, if (X, Y, Z, W) is (0.29, 0.1, 0.1, 0.1) at time T2, it is determined to be correct.
On the other hand, if the arm is stationary, for example, (0.2, 0.1, 0.1, 0.1) at time T2, it is determined to be outside the error range.

Returning to FIG. 5 again, the description of the functional blocks of the motion detection device 103 is continued.
When the squat pattern detector 510 detects that the user 104 has performed a squat correctly, the squat pattern detector 510 outputs a logical "true". The display control unit 511 receives this logical value and displays on the display unit 405 an animation movie or the like for indicating to the user 104 that the squat has been successful. The animation movie displayed here is, for example, a geometric animation movie using a physics engine.
Also, although not shown, the logic value of the squat pattern detection unit 510 may be counted to display the exercise achievement level and the like on the display unit 405 .

[Descent amount of muscle sensor device 102 attached to arm during squat]
FIG. 8 is a schematic diagram illustrating the amount of descent of the muscle sensor device 102 attached to the arm during a squat.
First, as shown in (a), the user 104 is in a standing state, with the elbow sticking out in front of the user 104 and the arm bent at 90 degrees and facing upward.
Next, the user 104 rotates the elbow behind the user 104 while bending down, as shown in (b). At this time, the arm is kept bent at 90° with respect to the elbow.
Finally, the user 104 sticks the elbow behind the user 104 in a fully bent state, as shown in (c). At this time, the arm is still bent at 90° with respect to the elbow.

An image M801 is an image obtained by moving the arm state of the user 104 in (c) to the shoulder position of the user 104 in (a).
As can be seen from this image M801, the distance that the muscle sensor device 102 descends due to the arm rotation of the user 104 is the distance L802. On the other hand, the distance that muscle sensor device 102 descends when user 104 bends down is distance L803. Therefore, if the user 104 squats correctly, the muscle sensor device 102 descends by a distance of distance L802+distance L803. Then, the value of this distance L802+distance L803 is held as the descent amount threshold value 611. FIG.

The amount of descent of muscle sensor device 102 in a squat varies depending on the physique of user 104 . Therefore, the exercise detection device 103 is provided with a function of inputting the physique of the user 104 in advance and storing it. A descent amount threshold value 611 is calculated from the input physique of the user 104 . If you have a standard body type, it is preferable to set approximately 60 to 70% of your height.

In the embodiment of the present invention, the muscle sensor device 102 is worn on the arm of the user 104 to detect the squat exercise, but the place where the muscle sensor device 102 is worn is not limited to the arm. By forming the front side belt 202 and the back side belt 203 to be long, it is also possible to wear them on the body surface of the body part of the user 104, such as the user's 104 legs and abdomen.
Furthermore, motion detection in motion determination system 101 is not limited to squats. Various workouts such as leg raises can be targeted for detection.

Therefore, the functional blocks and the like described so far can be read as follows.
"Muscle sensor device worn on the user's arm" is changed to "Muscle sensor device worn on the body surface of the user's body part",
"Belt wrapped around the user's arm" is changed to "Belt wrapped around the body surface of the user's body",
"Gyro sensor that detects the posture and motion of the user's arm" is changed to "Gyro sensor that detects the posture and motion of the user's body part",
``Squat pattern detection unit for detecting whether or not the user has performed a squat normally based on muscle displacement data, quaternion data, and three-dimensional acceleration data'' A training pattern detection unit that detects whether the user has normally performed a predetermined training based on the acceleration data of
"Initial posture data storing quaternion data indicating the position of the user's arms in the first stage of squat" is "stored quaternion data indicating the posture of the user's body parts in the first stage of training.""Initial Posture Data"
"An arm rotation table in which the correct data for the rotational movement of the user's arm is described as a quaternion and an error range" is "a correct data for the rotational movement of the user's body part is described as a quaternion and an error range.""Body part rotation table",
The ``arm rotation inspection unit that inspects whether the arm rotation state is within the range of values recorded in the arm rotation table'' is ``the rotation state of the body part is within the value recorded in the body part rotation table. In the body part rotation inspection unit that inspects whether it is within the range,
"Squat judgment part" to "training judgment part",
can be read separately.

In this embodiment, the exercise determination system 101 is disclosed.
The muscle sensor device 102 is worn on the arm of the user 104 . Then, the motion detection device 103 acquires muscle displacement data from the muscle displacement sensor group 340 and quaternion data and acceleration data from the gyro sensor 312, which are obtained from the muscle sensor device 102 by wireless communication, and performs real-time calculation. , to detect whether the user 104 performed a squat correctly.
This makes it possible to detect squats by using the low-cost muscle sensor device 102 and an existing wireless terminal without using expensive dedicated equipment such as a treadmill.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above embodiments, and other modifications and applications can be made without departing from the gist of the present invention described in the claims. including.

DESCRIPTION OF SYMBOLS 101... Exercise determination system 102... Muscle sensor apparatus 103... Exercise detection apparatus 104... User 105... Touch panel display 201... Main body part 202... Front side belt 203... Back side belt 204... Power switch 205... Buckle , 206... Hole 207... Detection hole 301... Bus 302... CPU 303... ROM 304... RAM 305... A/D converter 306... Second serial interface 307... One-chip microcomputer 308... Third 1 multiplexer 310 second multiplexer 312 gyro sensor 313 short-range wireless communication unit 314 first serial interface 340 muscle displacement sensor group 401 bus 402 CPU 403 ROM 404 RAM 405 Display unit 406 Operation unit 407 Non-volatile storage 408 Short-range wireless communication unit 501 Microcomputer 502 Short-range wireless transmission unit 503 Short-range wireless reception unit 504 Demultiplexer , 505 Comparator 506 Muscle displacement threshold 507 Multiplexer 508 Flag memory 509 OR gate 510 Squat pattern detector 511 Display controller 601 Initial posture detector 602 Initial posture data , 603 squat determination unit 604 arm rotation inspection unit 605 arm rotation table 606 timer 607 OR gate 608 AND gate 609 descent amount calculation unit 610 comparator 611 descent amount threshold , 612 ... delay

Claims (2)

A motion determination system comprising a muscle sensor device worn on a body surface of a body part of a user and a motion detection device performing short-range wireless communication with the muscle sensor device,
The muscle sensor device comprises:
a belt wrapped around the body surface of the body part of the user;
a group of muscle displacement sensors provided on the belt, which are photoreflectors composed of infrared LEDs and photosensors;
a gyro sensor provided near the group of muscle displacement sensors for detecting the posture and motion of the body part of the user;
a short-range wireless transmission unit that transmits muscle displacement data obtained from the group of muscle displacement sensors, quaternion data and three-dimensional acceleration data obtained from the gyro sensor,
The motion detection device comprises:
a short-range wireless receiver that receives radio waves transmitted from the short-range wireless transmitter and demodulates the muscle displacement data, the quaternion data, and the three-dimensional acceleration data;
an exercise determination system, comprising: a training pattern detection unit that detects whether or not the user has normally performed predetermined training based on the muscle displacement data, the quaternion data, and the three-dimensional acceleration data. The training pattern detection unit
The quaternion data is collated with initial posture data in which quaternion data representing postures of the body parts of the user in an initial stage of training are stored, and the quaternion data is used as the initial posture data. an initial posture detection unit that outputs a logical “true” when entering within the indicated numerical range;
a timer that outputs time information;
Body part rotation activated when the logical value of the initial posture detection unit becomes logical "true", and the correct data for the user's body part rotation is described by a quaternion and an error range. a body part rotation inspection unit that reads the table, receives time information output from the timer, and inspects whether or not the rotation state of the body part is within the range of values recorded in the body part rotation table; ,
a descent amount calculation unit that is activated when the logical value of the initial posture detection unit becomes logic "true" and calculates the descent amount of the muscle sensor device from the three-dimensional acceleration data;
a comparator for comparing the amount of descent output by the descent amount calculator with a predetermined descent amount threshold;
an output of the initial posture detection unit, a muscle displacement logic value indicating logical "true" when the muscle displacement data is equal to or greater than a predetermined muscle displacement threshold value, an output of the body part rotation inspection unit, and an output of the comparator; 2. The exercise determination system according to claim 1, further comprising a training determination unit that outputs a logical product of the outputs.

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