TW201636074A - Fitness training assistant system - Google Patents

Abstract

A fitness training assistant system that used in the personal training with or without equipment using. This system includes signal measurement device and receiver/processing device. The signal measurement device is used to directly contact on the human skin surface or fixed on the training assistant equipment. The sensor in the signal measurement device is used to record the related signal and transfer to the receiver/processing device by wireless interface. The received data will be saved in the data storage unit and used to calculate the quantified index by the embedded algorithm in the receiver/processing device. This quantified index can be used to indicate the fitness status and performance during and after training. The user and coach can also use these indexes to arrange an effective training schedule personally. This system can be integrated with remote server or cloud database for information sharing and synchronization.

Description

Fitness training assistant system

The invention relates to a measurement and analysis system applied to physiological parameters, in particular to a fitness training auxiliary system applied to freehand training or training using auxiliary instruments.

With the extension of the average life expectancy and the improvement of the quality of life, living and health has become the mainstream consciousness of the society. In order to maintain the health of the body, the trend of emphasizing the regular movement is becoming a trend. According to the results of the 103-year sports city survey, the domestic sports population The trend of increasing year by year, among which the population with sports reached 82.4%, the non-sports population dropped to 17.6%, and the regular sports population also increased to 33%, compared with 31.3% of the regular sports population surveyed in 102 years, which grew by 1.7%.

Due to the lack of sports space and the irregular working hours, as well as the formation of sports and body-building concepts, the fitness center that has been open for a long time and breaks the time limit of sports has gradually become the trend of the sports market.

In the training center through the hands-free or auxiliary equipment in the fitness center, currently only the aerobic exercise aids are equipped with relevant measuring devices, providing users with simple heart rate, calorie consumption and exercise time information, which can be provided initially. It is judged whether or not to enter the reference of aerobic exercise. Others such as freehand or using weight training equipment cannot provide any information, so that the user cannot grasp the state of each training process, cannot carry out effective training planning, and cannot avoid sports injuries. In addition, there is no way to connect with the back-end service platform, and there is room for improvement in actual use.

Therefore, how to propose an auxiliary device that is simple and convenient to use and can integrate the fitness of the hand and the equipment, and combines the signal analysis and quantification technology to provide the user with real-time feedback and information integration is an important issue for those skilled in the art.

In view of the above problems of the prior art, the present invention provides a fitness training support system applied to hands-on training or training using auxiliary instruments, including a signal measuring device and a receiving and processing device, allowing the user to perform hands-free operation or assist training. In the case of equipment, the feedback of the fitness state is instantly obtained, and the integrated analysis algorithm is used to evaluate the training effect and determine whether the physical fitness is suitable for continuing the training action.

The main object of the present invention is to construct a fitness training aid system for hands-on training or training using auxiliary instruments, including a signal measuring device and a receiving and processing device, wherein the signal measuring device includes a physical parameter measuring unit. The chemical parameter measuring unit, the signal processing unit and the wireless transmission interface, the physical parameter measuring unit directly contacts or is fixed on the skin surface of the user, and measures the physical parameters related to the physiological state through the sensor. The chemical parameter measuring unit directly contacts the skin surface of the user, and the sensor measures the chemical parameters related to the physiological state, and the signal processing unit calculates the measured physical parameters or chemical parameters to remove the noise and The wireless transmission interface transmits the physical or chemical parameters processed by the signal processing unit to the receiving and processing device and receives control information from the receiving and processing device. The receiving and processing device is configured to calculate the physical or chemical parameters transmitted by the signal measuring device by using the embedded analysis algorithm in addition to storing the received physical or chemical parameters, thereby displaying the fitness training related Auxiliary parameters.

Preferably, the signal measuring device of the present invention comprises a first signal measuring device and a The second signal measuring device, wherein the first signal measuring device is directly in contact with the skin surface of the user, and the second signal measuring device is fixed to the movable portion of the training device, that is, the portion operated by the user.

Preferably, the first signal measuring device of the present invention is fixed to the skin surface of the user by means of sticking, attaching, winding or binding.

Preferably, the second signal measuring device of the present invention is fixed to the movable portion of the training device by means of sticking, attaching, winding or binding.

Preferably, the physical parameters measured by the first signal measuring device of the present invention include: heartbeat, breathing, body temperature, activity, electrocardiogram, and electromyogram.

Preferably, the chemical parameters measured by the first signal measuring device of the present invention include: pH values and composition components of the body fluid.

Preferably, the analysis algorithm embedded in the receiving and processing device of the present invention can measure the second signal measured by the first signal measuring device and/or the second signal measuring device by the first signal measuring device. Processing is performed to generate user motion state information, training equipment motion state information, or corresponding information of the user operating the training equipment.

Preferably, the analysis algorithm of the present invention further analyzes and quantizes the first signal and/or the second signal to generate quantized auxiliary parameters related to fitness training, including heart rate, heart rate variability, and cardiac state parameters. , respiratory rate, respiratory changes parameters, body temperature, body temperature change parameters, muscle discharge parameters, activity analysis parameters, and integrated analysis parameters.

Preferably, the quantified auxiliary parameters related to fitness training generated by the analysis algorithm of the present invention can be applied to display of exercise state, evaluation of exercise intensity, planning of exercise flow, and prevention of sports injuries.

Preferably, the receiving and processing apparatus of the present invention operates the cardiac state parameter using a non-linear analysis method.

Preferably, the receiving and processing apparatus of the present invention operates the integrated analysis parameters using a multivariate analysis method.

Preferably, the receiving and processing apparatus of the present invention can exchange data with the integrated servo device or the cloud device.

Preferably, the server device or the cloud device of the present invention can provide information display, data analysis, query browsing and result storage functions.

In summary, the present invention provides a fitness training support system for autonomous training or instrument training, which provides the following advantages:

The instant analysis method is used to provide instant feedback information of the user in the process of self-training or using the auxiliary instrument training process, on the one hand to understand the state of motion, and on the other hand to assess whether the goal is achieved.

Use real-time analytics to assess the likelihood of sports injuries and alert users to reduce the chance of sports injuries.

Through integration with servos, cloud devices and resources, it can be applied to the planning of personalized fitness processes, while expanding the service delivery and application areas of measurement and analysis signal results.

1‧‧‧Users

2‧‧‧Training equipment

11‧‧‧First signal measuring device

111‧‧‧Physical parameter measurement unit (physical parameter measurement)

112‧‧‧Chemical parameter measurement unit (chemical parameter measurement)

113‧‧‧Signal Processing Unit

114‧‧‧Wireless transmission interface

12‧‧‧Second signal measuring device

121‧‧‧Physical parameter measurement unit (physical parameter measurement)

123‧‧‧Signal Processing Unit

124‧‧‧Wireless transmission interface

13‧‧‧Receiving and processing devices

14‧‧‧Servo/Cloud

1 is a block diagram of an embodiment of a fitness training assisting system of the present invention; FIG. 2 is a block diagram of another embodiment of the fitness training assisting system of the present invention; and FIG. 3 is a first signal measuring device of the present invention; Block diagram 4 is a block diagram of a second signal measuring device of the present invention; FIG. 5 is a measurement result of the first signal measuring device of the present invention; and FIG. 6 is an analysis algorithm for a receiving and processing device of the present invention. The result of analyzing the measurement result of the first signal measuring device; and the seventh drawing is the measuring result of the first signal measuring device and the second signal measuring device by the receiving and processing device of the present invention using the analysis algorithm The results of the analysis.

The embodiments of the present invention are described by way of specific examples, and those skilled in the art can readily appreciate the advantages and effects of the present invention from the disclosure herein. The invention may be embodied in other different forms, and various modifications and changes can be made without departing from the scope of the invention.

Referring to Figures 1, 3 and 4, a fitness training assisting system for hands-on training or training using auxiliary equipment includes a first signal measuring device 11, a second signal measuring device 12 and a receiving and processing device. 13. The first signal measuring device 11 can be fixed to the skin surface of the user 1 by means of sticking, attaching, winding or binding, and at least includes a physical parameter measuring unit (shown as physical parameter measurement in the figure) 111, chemistry The parameter measurement unit (shown as chemical parameter measurement in the figure) 112, the signal processing unit 113, and the wireless transmission interface 114, wherein the physical parameter measurement unit 111 and the chemical parameter measurement unit 112 can be combined into one physical or chemical parameter. The measuring unit, the physical parameter measuring unit 111 and the chemical parameter measuring unit 112 respectively use the various types of sensors to match the analog circuit to obtain the physical and chemical parameters of the user 1; the signal processing unit 113 uses the signal processing technology. The noise and interference in the first signal of the measured user 1 are removed or reduced; the wireless transmission interface 114 transmits the processed first signal to the receiving and processing device 13 through the wireless transmission mode. Exchange of information. The second signal measuring device 12 can be fixed to the movable part of the training device 2 by means of sticking, attaching, winding or binding, and at least includes a physical parameter measuring unit (shown as physical parameter measurement in the figure) 121. The signal processing unit 123 and the wireless transmission interface 124; the physical parameter measuring unit 121 uses various types of sensors to cooperate with the analog circuit to obtain the physical parameters of the training device 2; the signal processing unit 123 uses the signal processing technology to remove or reduce the The second transmission signal of the training device 2 measures the noise and interference; the wireless transmission interface 124 exchanges the processed second signal with the receiving and processing device 13 by means of wireless transmission. The receiving and processing device 13 includes at least an analysis algorithm, and the first signal measuring device 11 and the second signal measuring device 12 perform data exchange and then use an analysis algorithm to calculate, display, record and transmit and relate to fitness training. The auxiliary parameter, wherein the analysis algorithm measures the first signal (including physical parameters or chemical parameters of the user) measured by the first signal measuring device 11 and the second signal measuring device 12 respectively. The second signal (including the physical parameters of the training equipment) processes the parameters through linear and non-linear signal analysis techniques to respectively generate user motion state information or training equipment motion state information, and can combine the first signal or the second signal The plurality of parameters in the calculation then calculate the auxiliary parameters related to the fitness training to obtain the corresponding information of the user operating the training equipment. For example, the plurality of first quantization parameters generated by the first signal received by the receiving and processing device 13 may represent user motion state information, and the second signal is processed by the receiving and processing device 13 to be quantized. The plurality of second quantization parameters may represent training device motion state information, and the receiving and processing device 13 may further analyze at least one of the plurality of first quantization parameters and at least one of the second quantization parameters. Obtaining the auxiliary parameters related to the fitness training can represent the corresponding information of the user 1 operating the training equipment 2.

In the application example section, taking the arm bending exercise machine as an example, the present invention will be The electrode contact point of the signal measuring device 11 is fixed on the skin surface of the user 1, and the second signal measuring device 12 is fixed to the portion of the training device 2 operated by the user 1, for example, on the bar of the arm bending training machine. And matching the analog circuit to obtain the first signal of the motion process, such as the myoelectric signal (EMG), and the second signal, such as using the acceleration sensor (g sensor) to measure the acceleration g value of the operated part of the training device 2 The signal processing unit 113 in the first signal measuring device 11 and the signal processing unit 123 in the second signal measuring device 12 respectively remove the possible noise and interference in the measurement process, respectively, through the wireless transmission interface. 114, 124 are transmitted to the receiving and processing device 13. Figure 5 is the result recorded by the first signal measuring device 11 during the use of the arm bending training machine. The upper graph shows the curve of the g value with time, and the lower graph shows the curve of the myoelectric signal with time. The symbols (1) and (2) indicate that the first cycle and the second cycle are performed, respectively.

From the information shown in Figure 5, it can be found that when the action is performed, the g value and the myoelectric signal will show corresponding changes, wherein the myoelectric signal indicates the electrical signal that causes the muscle to contract for exercise, and the g value indicates It is the corresponding displacement change produced by the body when the muscle is activated, and the parameters can be separately quantified by the analysis algorithm of the receiving and processing device 13. Quantitative index 1 (Q1) is used to indicate the amplitude and frequency of the myoelectric signal during the contraction of the muscle. It can be expressed as Q1=f(A,F), where A represents the myoelectric signal amplitude and F represents the frequency. The actual test results show that the Q1 value will be less than 0, and the smaller the value, the stronger the muscle contraction. When the contraction efficiency decreases, the Q1 value begins to increase; the quantitative index 2 (Q2) is used to indicate the change of the g value of the muscle during the contraction process. , can be expressed as Q2=f(x, y, z), where x represents the degree of signal change in the X-axis of the acceleration sensor, y represents the degree of signal change in the axial direction of the acceleration sensor, and z represents the acceleration sensor. The degree of signal change in the Z-axis is found by the actual test results. The Q2 value will be greater than 0, and the larger the value, the greater the relative displacement of the body. The sixth figure shows the quantitative index 1 and the quantitative index 2 after 9 operations. Output As a result, the indications (1) and (9) in the figure indicate that the first cycle and the ninth cycle are performed, respectively, and the quantization parameter of the first signal measuring device 11 can be obtained by the analysis algorithm, which is used to represent the user body. The motion state; the relative displacement change of the lever of the arm bending training machine measured by the acceleration sensor on the second signal measuring device 12, and the quantization parameter of the second signal measuring device can be obtained through the analysis algorithm, Used to indicate the exercise state of the training equipment 2.

FIG. 7 shows the analysis results of the first and second quantization parameters generated by the first signal measuring device 11 and the second signal measuring device 12 in three training processes, and each training process is repeated for 12 action cycles. Where Run#1 represents the first training process; the range of the first and second quantization parameters are between 0 and 1, with 1 indicating the best condition and 0 indicating the worst condition, which can be found in the result. In one training process, the first and second signal measuring devices 11 and 12 record the analysis to the best condition. When entering the second training process, the subject still tries to maintain the same motion output, but the corresponding effect begins. Lowering, the third training process can be found that both the motion output and the corresponding effect are significantly reduced, indicating that the subject has begun to experience fatigue or weakness; the analysis results can be applied to the display of the exercise state, the assessment of exercise intensity , planning of sports processes and prevention of sports injuries.

In addition, FIG. 2 is a block diagram of another embodiment of the present invention, which integrates the first and second signals received by the receiving and processing device 13 and the processed first and second signals through a wired or wireless transmission interface. To the servo device/cloud device 14; the server device/cloud device 14 provides information display, data analysis, query browsing, and result storage function services.

The above embodiments are merely illustrative of the principles of the invention and its advantages, and are not intended to limit the invention. Any of the above-described embodiments may be modified by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be as described later. The scope of the patent application is listed.

1‧‧‧Users

2‧‧‧Training equipment

11‧‧‧First signal measuring device

12‧‧‧Second signal measuring device

13‧‧‧Receiving and processing devices

Claims (10)

A fitness training support system includes: a first signal measuring device disposed on a user to obtain a first signal when the user moves; and a receiving and processing device connected to the first signal through a network The measuring device receives the first signal, and processes the first signal in an instant by an analysis algorithm to obtain the motion state information of the user. The fitness training support system of claim 1, further comprising a second signal measuring device disposed on the training device operated by the user to obtain the training device being exercised by the user The second signal generated by the operation is connected, and the receiving and processing device is connected to the second signal measuring device to receive the second signal, and the second signal is processed by the analysis algorithm to obtain the motion state information of the training device. And correspondingly analyzing the first signal and the second signal to obtain corresponding information of the user operating the training device. The fitness training support system of claim 1, wherein the first training measuring device comprises: a physical or chemical parameter measuring unit, wherein the physical parameter of the user movement is obtained through the sensor or a chemical processing unit that processes the first signal to remove or reduce noise in the first signal; and a wireless transmission interface that transmits the processed first signal to the receiving and Processing device. The fitness training support system according to claim 3, wherein the first signal includes the physical parameter or the chemical parameter, and the physical parameter includes a heartbeat, a breath, a body temperature, an activity, an electrocardiogram or an electromyogram. The chemical parameters include the pH of the body fluid and its constituents. The fitness training support system of claim 1, wherein the first signal is processed by the receiving and processing device to generate a first quantization parameter including amplitude and frequency, and the first quantization parameter is used. Indicates the motion status information of the user. The fitness training support system of claim 2, wherein the second training measuring device comprises: a physical parameter measuring unit, wherein the training device is obtained by the user when the user is exercising through the sensor. The generated physical parameter; the signal processing unit processes the second signal to remove or reduce noise in the first signal; and the wireless transmission interface transmits the processed second signal to the receiving and processing device . The fitness training support system of claim 6, wherein the second signal is processed by the receiving and processing device to generate a second quantization parameter including a gravity acceleration signal and a corresponding displacement change, and The second quantization parameter is used to indicate the motion state information of the training device. The fitness training support system described in claim 2, wherein the The signal and the second signal are correspondingly analyzed and quantified by the receiving and processing device, thereby generating auxiliary parameters related to fitness training, including heart rate, heart rate variability, cardiac state parameter, respiratory number, respiratory change parameter, body temperature, The body temperature change parameter, the muscle discharge parameter, the activity amount analysis parameter, and the integrated analysis parameter, and the auxiliary parameter related to the fitness training is used to indicate the corresponding information of the user operating the training device. The fitness training support system of claim 1, further comprising a cloud device connected to the receiving and processing device for receiving and storing the first signal and the second signal transmitted by the receiving and processing device, The user's exercise status information, the exercise status information of the training device, or the corresponding information of the user operating the operation device. The fitness training support system of claim 9, wherein the first signal measuring device, the second signal measuring device, the receiving and processing device, and the cloud device communicate with each other via a wireless network .