Athletic assessment device and system

Abstract

Athletic assessment device and system comprising a physical fitness measurement device or sports fitness measurement device equipped with at least one physical fitness component calculator, each calculates one of balance, agility, power, speed and flexibility relating to an athletic activity. The output data of the athletic assessment device and system includes data relating to one of said physical fitness components.

Description

[Technical Field]

[0001] This invention relates to a motion assessment device and system, and more particularly to a device and system that can assess multiple motions using a single type of detection device. [Previous Technology]

[0002] Inertial sensors and other types of displacement sensors, manufactured using microsystems engineering technology, are widely used in wearable devices for motion assessment. The industry is constantly innovating to create devices that combine displacement sensors with other sensors or sensing technologies, including image capture devices, to achieve convenient and accurate motion assessment.

[0003] US Patent Publication US20110281249A1 discloses a method and system for creating personalized workout programs. The method and system are used to evaluate and adjust physical training programs and include the following steps: receiving first input data from a client device, including personal information, fitness goal information, and schedule data. Based on the first input data, generating a suggested exercise plan and a list of suggested activity groups. Receiving second input data from the client device, including feedback related to the suggested activity group list. Based on the first and second input data, generating a personalized exercise plan. The personalized exercise plan is transmitted and can be displayed on the client device.

[0004] US8503086B2 discloses a system and method for tracking and assessing movement skills in multidimensional space. This invention proposes a multi-user body activity system comprising: at least one tracking system for determining changes in the overall physical position of a first user and a second user; and at least one processor operatively coupled to the at least one tracking system for updating the virtual position of a user located in a virtual space, the virtual position corresponding to the user's physical position. The at least one tracking system is an image capturing device or a wireless optical sensor.

[0005] US20180021627A1 discloses an Interactive and Dynamic Fitness System. This system detects the training activities or equipment previously used by the trainee based on the trainee's dynamic position.

[0006] US20230024272A1 discloses a method for ranking and tracking athletic skills development. This method can detect and score an athlete's performance. This score is a comparison with professional-level performance. However, this invention is limited to athletic performance in shooting training.

[0007] US11364418B2 relates to a device, system, and method for automated global athletic assessment and / or human performance testing. This method collects and analyzes individual and structural physical performance data to generate exercise programs. A wide range of specific athletic assessment devices are used to perform individual athletic assessments. Assessment items include an individual's kinesics, neurological, musculoskeletal, and aerobic capacity. More specifically, the assessment includes body composition, orthopedic / musculoskeletal assessment, biomechanics, neuro / sensory-motor skills, and aerobic / anaerobic and / or capacity assessment and testing.

[0008] WO2006074297A2 discloses a system, method, and apparatus for evaluating military personnel. This invention also relates to the detection and evaluation of motion using various purpose-specific measuring instruments.

[0009] CN105705093A relates to conformal sensor systems for sensing and analysis. This invention discloses a system, method, and apparatus for sensing and analysis using a conformal sensor. The conformal sensor has a sensing surface that can fit snugly against the skin, and can sense the skin's EMG to represent human movement (including body movement and / or muscle activity), heart rate, electrical activity, and / or body temperature. When combined with an accelerometer or gyroscope built into the conformal sensor, it can be applied to applications such as medical diagnosis, medical treatment, physical activity, physiotherapy, and / or clinical purposes. Embodiments also include comparing measurements taken on both sides of the body to calculate balance.

[0010] JP6210997B2 discloses a method and system for creating personalized training programs, including training programs. When a user performs physical activity, images of the user are captured using image capture equipment and computer equipment. Based on the obtained images, an evaluation is conducted to create a human motion test score. Then, a personalized training program tailored to the specific user is created using the human motion test score, goals, and time commitment information.

[0011] JP2021137415A discloses a wearable device and a muscle function parameter calculation system. This patent provides a muscle function parameter calculation system for indicating a user's muscle function. The system uses an accelerometer with a detection acceleration range wider than ±20G and narrower than ±40G, and calculates muscle function parameters representing the user's muscle function level based on the detected acceleration. The sensor used is a wearable device.

[0012] US11298036B2 discloses a wearable device including a photoplethysmography (PPG) and inertial sensors for assessing physical activity and biometric parameters. The photoplethysmography (PPG) collects multiple photoplethysmography waveforms. The inertial sensors collect inertial data associated with object motion to determine the data integrity of the multiple PPG waveforms. A neural network is used to estimate the subject's blood pressure based on the multiple PPG waveforms.

[0013] EP3058442B1 discloses the calculation of pace and energy expenditure from athletic movement attributes. This invention collects kinematic data from an activity monitoring device during the initial activity period to establish a fatigue model. During exercise, the participant's current kinematic data is collected, processed according to the fatigue model to monitor fatigue status, and the fatigue status is displayed on the user interface.

[0014] US20190183412A1 discloses a system and method for assisting exercising of a subject. An exercise status providing unit 10 provides the exercise status of the object 7 during or during exercise; a fatigue level determination unit 20 determines the fatigue level of the object 7. An assessment unit 40 issues a warning signal when the fatigue level exceeds a threshold.

[0015] US11497966B2 discloses an automatic guidance system and method for guiding user movement. This invention calculates at least one metric using data collected from data collected by an accelerometer or position sensor worn by the user. A new guidance target metric is selected based on pre-stored metric reference values, and guidance information related to that guidance target metric is output.

[0016] Patent application TWI796035B disclosed by the same inventor discloses a biomechanics assessment system, a biomechanical sensing device, and a biomechanical assessment platform thereof. The biomechanical information interpretation device therein establishes a biomechanical information interpretation program, which, after operation, can perform at least one of the following processing steps on the biomechanical information obtained by the biomechanical sensing device: marking features, marking reference information, such as marking motion type, marking action type, marking sensing location, marking sensing time, marking sensing stage; and normalization processing.

[0017] US20240091589A1 relates to an integrated portable device and method implementing an accelerometer for analyzing biomechanical parameters of a stride. While a runner runs a certain distance (D) along a running route, the accelerometer of the wearable device measures a series of acceleration data at least in the vertical direction (av); calculates the biomechanical parameters of the stride, including the descent (A) and / or elevation (E) of the center of gravity, and / or the sum of vertical mechanical work based on the acceleration data, the distance (D), and / or the descent and elevation of the runner's center of gravity and / or the center of gravity (CG).

[0018] US8626472B2 discloses a system and method for measuring balance and track motion in mammals. A sensor band is attached to the lower leg of a mammal and used to measure the mammal's path and balance motion, including one or more first sensors for sensing circumferential muscle pressure at multiple locations; one or more second sensors for sensing the Earth's magnetic field; and one or more third sensors for sensing the Earth's gravitational field.

[0019] US20070219059A1 concerns a method and system for continuous monitoring and training of exercise. This system includes a multi-sensor data acquisition system that continuously and automatically measures body sounds, vital signs, vital signs, movement, and machine settings. The system can capture body sounds and other vital signs, analyze them, and report and display the summary results. The signal processing function utilizes unique signal separation and noise cancellation methods to extract the true signal from interfering signals even in noisy environments, provided that the signal and noise have similar frequency components or are statistically correlated.

[0020] KR101651429B1 discloses a fitness monitoring system. When the actions of a person performing a reference operation are displayed on a recording medium and the user performs the corresponding operation, the system determines and displays the type, intensity, frequency, and accuracy of the corresponding operation. The motion recognition devices used include: a pulse sensor; an accelerometer; and a gyroscope, used to provide rotational and directional information of the body in response to the user's movement.

[0021] KR20220106448A discloses a personal exercise management system using artificial intelligence and electromyographic signals. This system combines artificial intelligence with wireless electromyographic signal processing to assess the range of motion in fitness and taekwondo movements. During functional exercise, it improves the neural and muscular coordination or co-contraction of the movement-related muscle groups.

[0022] US20240315390A1 discloses instrumented artificial intelligence (AI) driven motion tracking and alignment systems and methods for various applications. The inventors generate time-normalized three-dimensional (e.g., frontal, sagittal, lateral) data associated with the pronation and / or supination of a user's lower limbs. A semi-rigid foot orthosis embeds sensors in a flexible region. Data from the sensors is used to measure how the orthosis flexes to determine the forces acting on the orthosis from the user's lower limbs. Data (including velocities and accelerations) on flexion, bending, and / or rotation of portions of the orthosis can be compared for analysis in pronation and / or supination of the shoe.

[0023] As can be seen from existing technical information, the industry currently urgently needs devices and systems that can evaluate athletic performance during exercise. Such devices should be wearable on the athlete without hindering exercise and be able to collect sufficient information for exercise evaluation. Currently proposed exercise evaluation devices and systems mainly use inertial sensors such as accelerometers and gyroscopes, but they must be supplemented by a variety or even a large number of other detection devices to provide the required sensing data.

[0024] Furthermore, while most existing technologies can provide accurate exercise assessments, they can only assess a single or limited number of sports. A few systems can assess multiple sports, but the same set of exercise assessment devices and systems can only assess the movement of a single body part or a single sport. A few tools that can assess multiple body parts or more than one sport can only be applied to a very limited number of body parts or sports. In addition, traditional exercise assessments must combine motion-related sensing devices with at least one other sensing device, such as a physiological detection device or an image acquisition device. This is extremely inconvenient in terms of wearing, exercise, and data processing. [Summary of the Invention]

[0025] The purpose of this invention is to provide a motion assessment device and system that can evaluate multiple motions using a single device.

[0026] The present invention is particularly intended to provide a motion assessment device and system that can assess multiple motions using only a single sensing device.

[0027] The purpose of this invention is also to provide a sports assessment device and system that can expand the assessment methods and / or items.

[0028] The purpose of this invention is also to provide a sports assessment device and system that can adjust the assessment method and / or items according to the needs of the trainee.

[0029] The motion assessment device according to the present invention includes at least one motion sensing device and a computing device. In a preferred embodiment of the present invention, the motion sensing device may be a wearable device for wearing on the human body or limbs to sense motion parameters of the sensing device itself during human movement. The motion parameters may include acceleration, angular velocity, magnetic force, or any combination thereof. The motion sensing device preferably includes a set of motion sensors, preferably a nine-axis motion sensor. The motion sensing device is communicatively connected to the computing device via wired or wireless means. To provide a wireless communication connection, the motion sensing device is equipped with a wireless communication module, preferably a short-range wireless communication module, and the computing device is also equipped with a corresponding wireless communication module, preferably a short-range wireless communication module, to establish a communication channel between the two. If it is a wired communication channel, it is preferably a pluggable communication channel. For this purpose, the motion sensing device may be equipped with a communication slot for plugging and unplugging a communication cable provided with the computing device. The motion sensing device also provides a power module to power the motion sensor and the communication module. The power module should include a power storage device.

[0030] The motion sensing device is further equipped with a controller for receiving control parameters from the computing device and using these control parameters to establish or update the settings of the motion sensing device, thereby regulating the output data of the motion sensor, such as the type, format, range of data values, and frequency of the output data. The computing device is equipped with a physical fitness measurement device (or sports fitness measurement device), which includes multiple physical fitness calculators, each calculating the value of at least one component of physical fitness. In a preferred embodiment of the invention, the physical fitness calculation function provided by the physical fitness calculation device, i.e., the calculated physical fitness components, includes at least one of the following: balance, agility, power, speed, and flexibility. In other embodiments, coordination and reaction may also be included.

[0031] The computing device also includes an input / output data controller connected to the wireless communication module or a wired communication module to receive output data from the motion sensing device and provide it to the fitness computing device, and to receive the calculated fitness element values ​​from the fitness computing device and provide them to the outside world via an output interface or display them on the display of the computing device.

[0032] The computing device may further include a motion assessment device, including a storage device for storing at least one motion assessment application. After the motion assessment application is executed in the computing device, it can calculate the result of a motion assessment item based on at least one of the fitness element values.

[0033] In a preferred embodiment of the present invention, the physical fitness calculator can calculate the value of the corresponding physical fitness element according to the following formula:

[0034] Balance = Σ k=x,y,z||ACC k(t)|-|ACC k(t-1)|| + ||GYRO k(t)|-|GYRO k(t-1)||

[0035] Agility = (Sensor put on target position) Where, =Explosive power = F x V = Force x velocity Speed ​​= Flexibility = Σ k = x,y,z.

[0036] The present invention also provides a sports assessment system, comprising any of the sports assessment devices of the present invention, and at least one sports assessment server communicatively connected to the sports assessment devices via wired and / or wireless means. The sports assessment server is equipped with a sports assessment database for storing fitness element values ​​and / or sports assessment item results sent by the sports assessment devices. The sports assessment server can also store various sports assessment applications. The sports assessment server is also equipped with a computing device. After execution in the computing device, the sports assessment application can calculate a sports assessment item result based on at least one of the fitness element values. The sports assessment server can also establish various overall sports assessment applications for calculating an overall sports assessment value based on single or multiple fitness element values ​​and / or sports assessment item results sent by the sports assessment devices. The sports assessment server can also respond to requests from at least one sports assessment device by providing stored fitness element values ​​and / or sports assessment item results and / or overall sports assessment values.

[0037] The above and other objects and advantages of the present invention will become clearer from the following detailed description and with reference to the accompanying drawings.

Implementation Method

[0039] The following description, with reference to the accompanying drawings, illustrates several preferred embodiments of the motion assessment device and system of the present invention. However, the purpose of these embodiments is to enable those skilled in the art, upon reading this patent specification, to implement the device and system of the present invention. These embodiments are merely various possible ways of implementing the present invention and are not intended to exhaustively describe all aspects and applications of the invention. The patent scope of the present invention should only be defined by the description in the claims.

[0040] Figure 1 is a block diagram of an embodiment of the exercise assessment system of the present invention. As shown, the exercise assessment system of the present invention includes a plurality of exercise assessment devices 11, 12, 13 of the present invention, and at least one exercise assessment server 20. The exercise assessment server 20 is communicatively connected to the plurality of exercise assessment devices 11, 12, 13 via wired and / or wireless means. As shown in the figure, the exercise assessment server 20 is equipped with a computing device 22 and an exercise assessment database 21. The exercise assessment database 21 can store the physical fitness element values ​​31 and / or exercise assessment item results 32 sent by the plurality of exercise assessment devices 11, 12, 13. The exercise assessment server 20 can also store a variety of exercise assessment applications 23. After the exercise assessment application 23 is executed in the computing device, it can calculate an exercise assessment item result based on at least one of the physical fitness element values ​​31. The exercise assessment server 20 can also build various overall exercise assessment applications 24 to calculate an overall exercise assessment value based on single or multiple fitness element values ​​31 and / or exercise assessment item results 32 sent by multiple exercise assessment devices 11, 12, 13. The exercise assessment server 20 can also respond to requests from at least one exercise assessment device 11, 12, 13 to provide stored fitness element values ​​and / or exercise assessment item results and / or overall exercise assessment values.

[0041] Figure 2 shows a block diagram of a preferred embodiment of a motion assessment device applicable to the motion assessment system of the present invention. As shown, the motion assessment devices 11, 12, and 13 according to the preferred embodiment of the present invention include a motion sensing device 111 and a computing device 112. In the preferred embodiment of the present invention, the motion sensing device 111 can be formed as a wearable device for wearing on the human body, limbs, or other parts of the body to sense the motion parameters of the sensing device 111 itself when the human body moves. The motion parameters may include acceleration, angular velocity, magnetic force, or any combination thereof. The motion sensing device 111 preferably includes a plurality of motion sensors 111a, 111b, and 111c, and the motion sensors 111a, 111b, and 111c are preferably nine-axis motion sensors. The motion sensing device 111 is communicatively connected to the computing device 112 in a wired or wireless manner. To provide wireless communication connectivity, the motion sensing device 111 is equipped with a wireless communication module 111d, preferably a short-range wireless communication module, and the computing device 112 is also equipped with a corresponding wireless communication module 112d, preferably a short-range wireless communication module, to establish a communication channel between the two. If it is a wired communication channel, it is preferably a pluggable communication channel. For this purpose, the motion sensing device 111 may be equipped with a communication slot for plugging and unplugging the communication cable 110 of the computing device 112. The motion sensing device 111 also provides a power module (not shown) to power the motion sensors 111a, 111b, 111c and the communication module 111d. The power module should include a power storage device.

[0042] The motion assessment device with the above-described architecture and functions is already a mature commercial product. Commercially available sensing chips typically provide sensing functions such as a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer, as well as short-range wireless communication functions, such as Bluetooth communication channels. Therefore, the motion sensing results or calculation results of the sensing chip can be wirelessly transmitted to the outside world. Using such commercially available sensing chips, a motion sensing device 111 suitable for this invention can be manufactured. The computing device 112 can also use commercially available processors or microprocessors, supplemented by appropriately designed computing software, to perform the necessary processing on the sensing results sent by the motion sensing device 111 to obtain the desired results. The computing power of commercially available processors or microprocessor chips is sufficient to provide the computing functions required by this invention. The technical details are not elaborated here.

[0043] In a preferred embodiment of the present invention, the motion sensing device 111 is further equipped with a controller 111e, which receives control parameters from the computing device 112 and uses these control parameters to establish or update the setpoints of the motion sensing device 111, thereby regulating the output data of the motion sensors 111a, 111b, and 111c, such as the type, format, range of data values, and frequency of the output data. In most applications, the firmware provided by the motion sensing device 111 is sufficient to regulate the output data. However, equipping it with a controller 111e can improve control capabilities or increase the number of control items or combinations thereof to cope with more complex applications. The motion sensing device 111 with the above-described architecture and functions can be manufactured by industry professionals using commercially available processors or microprocessors as needed. Its technical details need not be elaborated here.

[0044] As one of the features of the present invention, the computing device 112 is equipped with a physical fitness measurement device (or sports fitness measurement device) 113, which includes a plurality of physical fitness calculators 113a, 113b, 113c, 113d, 113e, each calculating the value of at least one component of physical fitness. In a preferred embodiment of the present invention, the physical fitness calculation function provided by the physical fitness measurement device 113, that is, the calculated physical fitness components, includes at least one of the following items: balance, agility, power, speed, and flexibility. In other embodiments, coordination, reaction, etc. may also be included. Related technical details will be described below.

[0045] The computing device 112 also includes an input / output data controller 114, which is connected to the wireless communication module 112d or a wired communication module 112c to receive the output data of the motion sensors 111a, 111b, and 111c from the motion sensing device 111, provide it to the fitness computing device 113, and receive the calculated fitness element values ​​from the fitness computing device 113, provide them to the outside world via an output interface 112b, or display them on the display 115 of the computing device.

[0046] In a preferred embodiment of the present invention, the computing device 111 may further include a motion assessment device 116, including a storage device 116a for storing at least one motion assessment application. After the motion assessment application is executed in the computing device 112, it can calculate a motion assessment result based on at least one of the fitness element values. Details will be described below.

[0047] Regarding the fitness calculation device 113, in a preferred embodiment of the present invention, the fitness calculators 113a, 113b, 113c, 113d, and 113e equipped with the fitness calculation device 113 can calculate the values ​​of the corresponding fitness elements according to the following formulas: Balance calculator 113a: Balance refers to an individual's ability to keep the projection line of their center of gravity within the range of their supporting base. Balance can include static balance and dynamic balance. It is generally believed that balance is controlled by three different systems: the somatosensory system, the visual system, and the vestibular system. In practice, it is assessed using various result tools such as the Berg Balance Scale and BESTest. For providing exercise or health assessments, providing a static balance assessment should be sufficient.

[0048] According to a preferred embodiment of the present invention, balance can be calculated using the following formula, based on the acceleration and angular velocity values ​​sensed by the motion sensing device 111: Balance = Σ k=x,y,z||ACC k(t)|-|ACC k(t-1)|| + ||GYRO k(t)|-|GYRO k(t-1)|| Wherein, ACC k represents the acceleration value measured by the motion sensor worn on the lower back of the evaluation subject. GYRO k represents the angular velocity value measured by the motion sensor worn on the lower back of the evaluation subject. t is time, typically measured for 30 seconds, optimally 30 seconds, and the offset value during the process is calculated. A motion sensing device is used during the test. The evaluated value is the difference between the values ​​measured by the motion sensor before and after a certain time, the smaller the better. The evaluator can create their own scale, give scores, and record them for medium- and long-term evaluation.

[0049] Agility Calculator 113b: Agility can be defined as "rapid whole-body movements that change speed or direction in response to stimuli." When stimulated, the human body rapidly and continuously performs a series of explosive movements in opposite directions. Measuring the results of these movements can be used to assess agility.

[0050] According to a preferred embodiment of the present invention, agility can be calculated using the following formula, based on the acceleration and angular velocity values ​​sensed by the motion sensing device 111: Agility = (Sensor put on target position) Wherein, = represents the velocity value measured by the motion sensor worn on the body of the person being evaluated at the position to be evaluated. is time, typically 0.02 seconds, preferably 0.01 seconds, and most preferably 0.005 seconds, all related to the sampling frequency. A single motion sensing device is used during testing. The evaluated value is the directional change over average time, and a larger value is better. The wearing position can be both feet, both hands, etc. The evaluator can create their own scale, give scores, and record them for medium- and long-term evaluation.

[0051] Power Calculator 113c: Power refers to the maximum force a person can exert. In testing, for example, a medicine ball throwing test can be used to assess the power of the upper limbs.

[0052] According to a preferred embodiment of the present invention, explosive force can be calculated using the following formula based on the triaxial acceleration values ​​sensed by the motion sensing device 111: Explosive Force = F x V = Force x velocity. In a preferred embodiment of the present invention, the values ​​of F and V can be calculated using the following formula: A single motion sensing device 111 is used during testing. It is worn on the lower back of the subject being evaluated. Higher values ​​are preferred. The evaluator can create their own scale, assign scores, and record them for medium- and long-term evaluation.

[0053] Speed ​​Calculator 113d: Speed ​​(speed) is the ability to complete an action in a short time. Speed ​​can usually be assessed by methods such as sprint testing.

[0054] According to a preferred embodiment of the present invention, the speed can be calculated using the following formula based on the acceleration value sensed by the motion sensing device 111: Speed ​​V = where a represents the acceleration value measured by motion sensors worn on the lower back, hands, feet, etc., of the assessment subject. The larger the sum of the triaxial acceleration integral values, the better. The assessor can create their own scale, assign scores, and record them for medium- and long-term assessment.

[0055] Flexibility Calculator 113e: Flexibility refers to the ability to move a joint throughout its range of motion. Factors affecting flexibility include the extensibility of the joint capsule, adequate warm-up, and muscle viscosity. Common devices used to assess flexibility include goniometers, inclinometers, and Leighton flexometers. However, according to a preferred embodiment of the present invention, flexibility can be calculated using the following formula, based on the acceleration and angular velocity values ​​sensed by the motion sensing device 111: Flexibility = Σ k = x, y, z where k represents the angular velocity value measured by the motion sensor worn on the measurement sites such as the hands, feet, and waist of the assessment subject. dt is the unit of time, typically measuring the number of bending movements. A single motion sensing device 111 is worn on the site to be assessed; for example, to measure waist flexibility, it is worn on the waist, and if worn on the hand, the angle of hand rotation can be measured. The assessed value is the integral of angular velocity, representing the change in angle; a higher value is better. Assessors can create their own scales, assign scores, and record the data for medium- and long-term evaluation.

[0056] Although it is academically believed that only the flexibility of specific joints can be measured and the flexibility of the whole body cannot be measured, the flexibility of the whole body or specific sections of the torso can be measured using the technology of the present invention.

[0057] Example In order to verify that the motion assessment device and system of the present invention can indeed be used to assess the values ​​of multiple elements of human physical fitness, the following experiment was conducted.

[0058] Example 1 – Flexibility Detection 1 – Seated Forward Bending Detection To verify that the motion assessment device of the present invention can be used to test human flexibility, the following test was performed. A sensor according to one embodiment of the present invention was worn on the user's lower back. The user was asked to sit on the floor with both legs extended forward. Both arms were extended forward. The computing device and the motion sensing device were turned on and frequency matched to establish a communication connection between them. The flexibility detection function 2 of the computing device was turned on. After the detection started, the user was asked to bend forward while keeping their arms extended forward. Return to the original position and bend forward again. This was repeated 10 times. The bending angle of the waist measured by the motion sensing device during this period was recorded. Determination of the direction of movement: The current calculation formula is not directional. The square root of the sum of the squares of the changes in the three directions is taken as the total change angle. Determination of the angle of movement: The angle of change during the process can be obtained by integrating the angular velocity. Invalid single movements, such as test results with too small bending angles, were discarded. The average bending angle was calculated.

[0059] Example 2 – Flexibility Detection 2 – Thigh Movement Angle Measurement To verify that the motion assessment device of the present invention can be used to test human flexibility, the following test was performed. A sensor according to one embodiment of the present invention was worn on the user's left ankle. The user was instructed to lie supine. The computing device and the motion sensing device were turned on and frequency-matched to establish a communication connection. The flexibility detection function 2 of the computing device was turned on. After the detection began, the starting angle was measured. The user was instructed to straighten and raise their left leg until the maximum range of motion was reached, and then return to the original position. This was repeated 10 times. The angle of movement in each single direction measured by the motion sensing device during this period was recorded. Method for determining the starting direction: The user must first remain still, and the starting direction of the sensor can be determined by gravitational acceleration. Determination of movement direction: The current calculation formula is not directional. The square root of the sum of the squares of the changes in the three directions is used as the total change angle. Determination of movement angle: The change angle during the process can be obtained by integrating the angular velocity. Invalid single movements, such as test results with too small an angle, were discarded. The average value of the angle change was calculated.

[0060] Example 3 – Explosive Power Detection – Vertical Jump Detection To verify that the motion assessment device of the present invention can be used to test human explosive power, the following test was performed. A sensor according to one embodiment of the present invention was worn on the user's right wrist. The user stood with feet shoulder-width apart, knees slightly bent, heels on the ground, and hands placed at the waist. The computing device and motion sensing device were turned on and paired to establish a communication connection. The explosive power detection function of the computing device was turned on. After the test began, the user was asked to squat jump (SJ) until reaching maximum activity and then land naturally. During this time, both hands remained at the waist. This was repeated 10 times. The acceleration in each single direction measured by the motion sensing device during this period was recorded. Based on the principle of F=mxa, the force, speed, and airtime of each movement were calculated. Determination of direction of movement: The direction was determined using the positive and negative values ​​of the sensor. Calculation of force: Calculated using acceleration (excluding individual differences in body weight). Calculation of speed: Please provide a definition of speed, as instantaneous speed is different every instant. Airborne time calculation: The corresponding time is calculated using the sensor's sample rate. The airborne portion can be determined using the acceleration waveform. Invalid single movements are discarded, such as test results with excessively short distances, or values ​​that do not exceed the threshold or exceed the threshold. The average value of the detected items is calculated.

[0061] Example 4 – Balance Detection – Static Balance Detection To verify that the motion assessment device of the present invention can be used to test human balance, the following test is performed. A sensor according to one embodiment of the present invention is worn on the user's lower back. The user stands naturally with feet together, heels on the ground, and arms hanging naturally. The computing device and motion sensing device are turned on and frequency-matched to establish a communication connection. The balance detection function of the computing device is turned on. After the test begins, the user is instructed to: 1) Maintain a standing posture with eyes open for 30 seconds. 2) Maintain a standing posture with eyes closed for 30 seconds. 3) Raise one leg backward with eyes open and maintain the posture for 30 seconds. Repeat once for each leg. 4) Raise one leg backward with eyes closed and maintain the posture for 30 seconds. Repeat once for each leg. 5) Stand with eyes open, one foot in front of the other, with the toes of the back foot touching the heels of the front foot, maintaining the standing posture for 30 seconds. Repeat the test once more with the legs reversed. 6) Close your eyes, stand with one foot in front of the other, the toes of the back foot touching the heel of the front foot, and maintain this position for 30 seconds. Switch feet and measure again. Measure the degree of body sway during the test. The formula for determining the degree of sway is: discard invalid single movements and discard data that differs too much from other data. Calculate the average value of the test results.

[0062] Example 5 – Reaction Time Detection – Simple Response and Selective Response Tests To verify that the motion assessment device of the present invention can be used to test human reaction time, the following tests were performed. A sensor according to one embodiment of the present invention was worn on the user's dominant wrist. The user sat in a chair with both hands naturally placed on the table in front of them. The computing device and the motion sensing device were turned on and paired to establish a communication connection. The reaction time detection function of the computing device was turned on. After the test began, the display of the computing device, such as the screen of a smartphone, was placed on the table in front of the user, and the application was started. The simple response test involved the user raising their hand when the indicator light on the smartphone screen lit up, and then lowering it. The selective response test involved the user reaching out their hand in different directions according to the indicator light displayed on the smartphone screen. This was repeated 10 times. The time between the time the wrist moved in one direction to a threshold value, as measured by the motion sensing device for each indicator light display, was recorded. Through experimental testing, the threshold value was determined; only the time required to reach the threshold needed to be determined. Invalid single movements, such as test results with too short a distance or too long a reaction time, were discarded. Calculate the average reaction time.

[0063] As described above, the motion sensing device 111 in this embodiment of the invention is further equipped with a controller 111e, which is used to receive control parameters sent by the computing device 112 and use the control parameters to establish or update the setting values ​​of the motion sensing device 111, thereby regulating the output data of the motion sensors 111a, 111b, and 111c, such as the type, format, range of data values, and frequency of the output data. In most embodiments, the motion sensing device 111 does not directly output sensing result data, or does not only output sensing result data, but outputs the values ​​of the aforementioned fitness elements.

[0064] Professionals in fields such as sports assessment, health assessment, medical assessment, and learning assessment do not need to understand the sensing characteristics of various sensors, such as accelerometers, angular velocity meters, magnetometers, etc., nor do they need to purchase them for the purpose of sensing a single fitness element and ask the test subject to wear a dedicated sensing instrument. They can use the output results of the sports assessment device according to the present invention to conduct assessments or add value to improve the function.

[0065] For example, in the aforementioned embodiment of explosive power detection, the motion sensing device 111 can be set to additionally output a balance detection value. In this way, the subject's balance can be continuously monitored while testing explosive power.

[0066] This invention provides a novel motion assessment device and system, enabling experts in various industries to easily apply the motion assessment device to different detection methods and combine different detection methods to develop various applications without needing to understand the sensing numerical characteristics of various sensors. It is indeed a novel and progressive invention. [Simplified Explanation of the Diagram]

[0038] Figure 1 shows a block diagram of one embodiment of the motion assessment system of the present invention. Figure 2 shows a block diagram of a preferred embodiment of a motion assessment device applicable to the motion assessment system of the present invention.

Claims

1. A motion assessment device, comprising at least one motion sensing device and a computing device, wherein, The motion sensing device includes a set of motion sensors that are connected to the computing device via wired or wireless means. The motion sensing device is equipped with a controller for receiving control parameters from the computing device and using these parameters to set or update the settings of the motion sensing device, thereby regulating the output data of the motion sensors. The computing device is equipped with a physical fitness measurement device (or sports fitness measurement device), including multiple physical fitness calculators that individually calculate the values ​​of at least one of the following physical fitness components: balance, agility, power, speed, and flexibility. The output data of the computing device includes the values ​​of at least one of these physical fitness components.

2. As in the motion evaluation device of claim 1, wherein, The fitness calculator calculates the balance value according to the following formula: Balance = Σ k=x,y,z||ACC k(t)|-|ACC k(t-1)|| + ||GYRO k(t)|-|GYRO k(t-1)|| .

3. As in the motion evaluation device of claim 1, wherein, This fitness calculator calculates agility using the following formula: Agility = (Sensor put on target position) where, =.

4. As in the motion evaluation device of claim 1, wherein, This fitness calculator calculates explosive power using the following formula: Explosive Power = F x V = Force x velocity.

5. The motion evaluation device as described in claim 1, wherein, This fitness calculator calculates the speed value according to the following formula: Speed ​​V = where, 6. The motion evaluation device as described in claim 1, wherein, This fitness calculator calculates flexibility using the following formula: Flexibility = Σ k = x, y, z.

7. A motion evaluation device as described in any one of claims 1 to 6 of the patent application, wherein, The motion sensor is a nine-axis motion sensor.

8. The motion evaluation device as described in claim 7, wherein, The nine-axis motion sensor senses acceleration, angular velocity, magnetic force, or any combination thereof.

9. A motion evaluation device as described in any one of claims 1 to 6 of the patent application, wherein, The motion sensing device is a wearable device.

10. A motion evaluation device as described in any one of claims 1 to 6 of the patent application, wherein, The control parameters establish or update the settings of the motion sensing device to regulate parameters such as the type, format, range of data values, and frequency of the output data of the motion sensor.

11. A motion evaluation device as described in any one of claims 1 to 6 of the patent application, wherein, The computing device also includes a motion assessment device, including a storage device for storing at least one motion assessment application; after the motion assessment application is executed in the computing device, it can calculate the result of a motion assessment item based on at least one of the fitness element values.

12. A sports assessment system comprising a plurality of sports assessment devices as described in any one of claims 1 to 11, and at least one sports assessment server communicatively connected to the plurality of sports assessment devices via wired and / or wireless means; the sports assessment server is equipped with a sports assessment database for storing fitness element values ​​and / or sports assessment item results sent by the plurality of sports assessment devices; the sports assessment server further stores a plurality of sports assessment applications, which, when executed on the server, can calculate a sports assessment item result based on at least one of the fitness element values.

13. The motion evaluation system as described in claim 12, wherein, The exercise assessment server also has a variety of overall exercise assessment applications for calculating an overall exercise assessment value based on the values ​​of a single or multiple fitness elements and / or the results of exercise assessment items sent by multiple exercise assessment devices. The exercise assessment server can also respond to requests from at least one exercise assessment device and provide stored fitness element values ​​and / or the results of exercise assessment items and / or the overall exercise assessment value.

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