CN114653047A - Exercise training device and method - Google Patents
Exercise training device and method Download PDFInfo
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- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
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Abstract
The application belongs to the technical field of sports equipment, and particularly relates to a sports training device and method. The existing exercise training device can not combine the exercise information and the physiological information to obtain the current comprehensive exercise state of the user; the intuitive exercise training rhythm guiding regulation of the user cannot be realized. The application provides a motion training device, including the motion module, the motion module is connected with the host computer module, the host computer module is connected with monitoring module. The user motion information and the physiological information can be collected and analyzed in real time, the comprehensive motion state is obtained, and the music playing speed and frequency are adjusted accordingly.
Description
Technical Field
The application belongs to the technical field of sports equipment, and particularly relates to a sports training device and method.
Background
When the eating calorie of the human body is more than the consumed calorie, the excessive calorie is stored in the body in the form of fat, the amount of which exceeds the normal physiological requirement, and when the excessive calorie reaches a certain value, obesity develops. Obesity also develops in connection with individual eating habits, lifestyle, hobbies and psychosocial factors. To avoid physiological diseases caused by obesity (mild breathlessness, snoring during sleep: severe snoring can also cause clinical manifestations such as hypertension, diabetes, gout, and the like). Although simple obesity occurs at any age, approximately half of adult obese patients have a history of childhood obesity.
Several studies have demonstrated that auditory stimulation can help exercise rehabilitation for diseases such as obesity. In the study of music festivals, in 2021, Park et al demonstrated that familiarity with music would promote the effects of sports. In earlier studies, Kaipust, J.P et al demonstrated that different tempo of music would change the pace of the subject and promote compliance of the subject's movements with the optimal movement variability theory by controlling tempo.
The existing exercise training device based on music excitation cannot acquire real-time exercise information and physiological information of a user, so that the current comprehensive exercise state of the user cannot be acquired by combining the exercise information and the physiological information; the exercise training system based on music stimulation cannot switch music and adjust the music playing speed and frequency according to the comprehensive exercise state of the user, so that the user cannot be intuitively guided and adjusted in exercise training rhythm.
Disclosure of Invention
1. Technical problem to be solved
The exercise training system based on music stimulation based on the existing exercise training device cannot acquire real-time exercise information and physiological information of a user, so that the current comprehensive exercise state of the user cannot be acquired by combining the exercise information and the physiological information; the exercise training system based on music excitation cannot switch music and adjust music playing speed and frequency according to the comprehensive exercise state of a user, so that the problem that intuitive exercise training rhythm guiding adjustment cannot be achieved for the user is solved.
2. Technical scheme
In order to achieve the purpose, the application provides a sports training device which comprises a sports module, a monitoring module and a control module, wherein the sports module is connected with an upper computer module; the system comprises a motion module, a monitoring module, a music playing module and an upper computer module, wherein the motion module is used for assisting a user to complete motion training, collecting motion information data and transmitting the motion information data to the upper computer module, the monitoring module is used for collecting physiological information data of the user in real time and transmitting the physiological information data to the upper computer module, and the upper computer module is used for receiving, analyzing and integrating the motion information data and the physiological information data, adjusting the speed and frequency of music playing in real time and displaying current information data and motion prompts.
Another embodiment provided by the present application is: the exercise module comprises one or more of a treadmill, a hula hoop and a skipping rope, a wireless communication unit is arranged in the treadmill, the wireless communication unit is arranged in the hula hoop, the wireless communication unit is arranged in the skipping rope, and the wireless communication unit collects exercise information data in real time and transmits the exercise information data to the upper computer module.
Another embodiment provided by the present application is: the monitoring module is intelligent wrist-watch, monitoring bracelet or monitoring pectoral girdle, physiological information includes heart rate information and blood oxygen information.
Another embodiment provided by the present application is: the upper computer module comprises a control host, the control host is connected with the communication unit, the control host is connected with the display, and the control host is connected with the sound playing equipment; the control host analyzes the current expected motion state of the user after receiving the motion information data and the physiological information data in real time through the communication unit, compares the expected motion state with the real motion state, and stimulates or safely reminds the user through the sound playing equipment and the display.
Another embodiment provided by the present application is: the upper computer module further comprises a support, the control host is arranged on the support, the communication unit is arranged on the support, the display is arranged on the support, and the sound playing equipment is arranged on the support.
Another embodiment provided by the present application is: the support includes the trunk, base, a plywood and two plywoods have set gradually on the trunk.
Another embodiment provided by the present application is: the base is X type, be provided with the universal wheel on the base.
The present application also provides a method of using the exercise training device, the method comprising the steps of:
step 1: real-time heart rate data is acquired through the monitoring module and recorded as HR, and real-time functional blood oxygen saturation data is acquired and recorded as SpO2；
Step 2: according to the HR and the SpO2Judging whether the motion state of the user is suitable for continuing to move, namely judging whether the user is in a motion fatigue state;
and step 3: statistical-based HR and SpO2Establishing BP neural network model by using data as training set, and inputting HR and SpO2The data, the hidden layer is 1 layer, the output layer is the expected movement state, wherein the meaning of the expected movement state is the movement state which can be reached or should be reached by the current physiological state of the user, and the expected movement state is represented by five labels of 'high intensity, medium intensity, low intensity, relaxation and rest';
and 4, step 4: counting real somatosensory of a user in five states of high intensity, medium intensity, low intensity, relaxation and rest when the user uses the exercise training device through questionnaires, determining the speed and frequency grading setting of the exercise training device corresponding to the five states of high intensity, medium intensity, low intensity, relaxation and rest, and representing the current exercise state of the user through the setting;
and 5: and comparing the current motion state with the expected motion state, acquiring a motion state difference value, and reporting the current motion state, the expected motion state and the motion state difference value.
Another embodiment provided by the present application is: the judging whether the user is in the exercise fatigue state comprises the following steps:
when the heart rate of a user is more than or equal to 72 percent HRR and less than or equal to 78.3 percent HRR and simultaneously is more than or equal to 95 percent SpO2When the weight is less than or equal to 100 percent, the exercise can be continued, if the weight is not in the range, the exercise training is directly stopped, and a rest suggestion is given; wherein HRR is the reserve heart rate.
Another embodiment provided by the present application is: the method for calculating the HRR (reserve heart rate) comprises the following steps: HRR ═ HRmax-HR0Wherein HR ismaxMaximum heart rate, HR0Resting heart rate, juvenile HR0Is 60 to 70BPM, and the amount of the active carbon is,
HRmax220-a; wherein A is the age of the user.
3. Advantageous effects
Compared with the prior art, the exercise training device and the exercise training method provided by the application have the beneficial effects that:
the application provides a sports training device, is a childhood obesity sports training device based on music excitation.
The exercise training device provided by the application can acquire and analyze user exercise information and physiological information in real time, acquire a comprehensive exercise state and adjust the speed and frequency of music playing according to the comprehensive exercise state.
The application provides a sports training device acquires user physiological information through wearable equipment, acquires user motion information through the sports equipment who has installed the communication unit, integrates physiological information and motion information and adjusts the music broadcast through host computer module, guides the user through the speed and the frequency of music at last and adjusts the motion state.
The exercise training device provided by the application collects the real-time exercise information and the physiological information of the user, and can acquire the current comprehensive exercise state of the user by combining the exercise information and the physiological information.
The exercise training device provided by the application switches music and adjusts the music playing speed and frequency according to the current comprehensive exercise state of the user, so that the intuitive exercise training rhythm guiding and adjusting can be achieved for the user.
Drawings
FIG. 1 is a schematic diagram of the exercise training device of the present application;
FIG. 2 is a block diagram of the host computer module of the present application;
fig. 3 is a schematic diagram of the working principle of the exercise training device of the present application.
Detailed Description
Hereinafter, specific embodiments of the present application will be described in detail with reference to the accompanying drawings, and it will be apparent to those skilled in the art from this detailed description that the present application can be practiced. Features from different embodiments may be combined to yield new embodiments, or certain features may be substituted for certain embodiments to yield yet further preferred embodiments, without departing from the principles of the present application.
Referring to fig. 1 to 3, the present application provides a sports training device, which includes a sports module, wherein the sports module is connected with an upper computer module 3, and the upper computer module 3 is connected with a monitoring module 2; the exercise module is used for assisting a user to finish exercise training, collecting exercise information data and transmitting the exercise information data to the upper computer module 3, the monitoring module 2 is used for collecting physiological information data of the user in real time and transmitting the physiological information data to the upper computer module 3, the upper computer module 3 is used for receiving, analyzing and integrating the exercise information data and the physiological information data, resolving an expected exercise state, a current exercise state and an exercise state difference value, adjusting the speed and frequency of music playing in real time, and displaying the current information data and an exercise prompt.
The motion information data includes information such as motion frequency, motion speed, motion total amount, etc.; the upper computer module 3 analyzes the current expected motion state of the user according to a program algorithm after receiving the motion information and the physiological information transmitted by the motion module and the monitoring module 2, compares the current motion state with the real current motion state, and obtains a motion state difference value between the expected motion state and the current motion state, if the user does not reach the expected motion state, the sound box 34 slows down the music playing speed and improves the music frequency to stimulate the user to increase the motion intensity, meanwhile, the display 35 prompts the user that the motion intensity needs to be increased and corresponding encouragement is made, if the user exceeds the expected motion state, the sound box 34 accelerates the music playing speed and reduces the music frequency to prompt the user to reduce the motion intensity, and meanwhile, the display 35 prompts the user that the motion intensity needs to be reduced and corresponding safety prompt is made.
Furthermore, the exercise module comprises one or more of a running machine 11, a hula hoop 12 and a skipping rope 13, wherein a wireless communication unit is arranged in the running machine 11, the wireless communication unit is arranged in the hula hoop 12, the wireless communication unit is arranged in the skipping rope 13, and the wireless communication unit collects exercise information data in real time and transmits the exercise information data to the upper computer module 3.
The wireless communication unit is a WiFi module, the treadmill 11 is provided with the WiFi module on the basis of the traditional treadmill and can wirelessly transmit running speed data, the hula hoop 12 and the skipping rope 13 are also provided with the WiFi modules respectively, the hula hoop 12 can wirelessly rotate around the abdomen, the skipping rope 13 can accumulate and finish the number of times of skipping rope 13 and wirelessly transmit, and when a user performs exercise training, all exercise data of the exercise module are transmitted to the upper computer module 3 in real time.
Further, monitoring module 2 is intelligent wrist-watch, monitoring bracelet or monitoring pectoral girdle, physiological information includes rhythm of the heart information and blood oxygen information.
The smart watch, the monitoring bracelet or the monitoring chest strap have the functions of heart rate detection, blood oxygen detection and data wireless transmission.
Further, the upper computer module 3 comprises a control host computer 33, the control host computer 33 is connected with the communication unit 32, the control host computer 33 is connected with the display 35, and the control host computer 33 is connected with the sound playing device; the control host 33 receives the motion information data and the physiological information data in real time through the communication unit 32, analyzes the current expected motion state of the user, compares the expected motion state with the real motion state, and activates or safely reminds the user through the sound playing device and the display.
The sound player device here may be a sound box 34, and the communication unit 32 here employs a router.
Further, the upper computer module 3 further comprises a support, the control host 33 is arranged on the support, the communication unit 32 is arranged on the support, the display 35 is arranged on the support, and the sound playing device is arranged on the support.
Further, the support comprises a trunk 312, and a base 311, a first layer plate 313 and a second layer plate 314 are sequentially arranged on the trunk 312.
Further, the base 311 is of an X shape, and universal wheels are arranged on the base 311.
The support is as host computer module 3's frame supports other subassemblies of host computer module 3, the router is wiFi network deployment basic station, can receive simultaneously motion module with motion information and the physiological information of monitoring bracelet wireless input, and pack and send to control host 33, control host 33 is high performance workstation computer, and built-in control procedure receives behind motion information and the physiological information that the router packing was sent, analyzes out user's present anticipated motion state according to the program algorithm to compare with real motion state, if the user does not reach anticipated motion state then pass through the speed that the stereo set slowed down the music broadcast and improve the music frequency in order to encourage user to increase the motion intensity, pass through simultaneously the display suggestion user need increase motion intensity and make corresponding encouragement, if the user has surpassed anticipated motion state then pass through the speed that the stereo set accelerates the music broadcast and reduce the music frequency in order to promote the music frequency And the user is prompted to reduce the exercise intensity, and simultaneously the user is prompted to reduce the exercise intensity through the display and make a corresponding safety prompt.
The base 311 is a frame of the support and is an X-shaped bottom support, a universal wheel is assembled at the end of the X-shape, the trunk 312 is fixedly connected to the center of the X-shape, a display buckle is arranged at the other end of the trunk 312 and is used for mounting the display 35, the first layer plate 313 is fixedly connected to the middle-lower section of the trunk 312 and is used for placing the router and the control host 33, and the second layer plate 314 is fixedly connected to the middle-upper section of the trunk 312 and is used for placing the sound 34; the control host 33 inputs the familiar and favorite music of the user in advance, and plays the music when the user exercises through the exercise module, and changes the playing speed and frequency according to the instruction of the control host 33; the display 35 displays the exercise information and the physiological information received by the router in real time, and displays the expected exercise state value and the current actual exercise state value measured and calculated by the control host 33, so as to prompt the user to strengthen or reduce exercise intensity, and to prompt encouragement or safety.
The present application also provides a method of using the exercise training apparatus, the method comprising the steps of:
step 1: real-time heart rate data is acquired through the monitoring module 2 and recorded as HR, and real-time functional blood oxygen saturation data is acquired and recorded as SpO2；
Step 2: according to the HR and the SpO2Judging whether the motion state of the user is suitable for continuous motion, namely judging whether the user is in a motion fatigue state;
and step 3: statistical-based HR and SpO2Establishing a BP neural network model by taking the data as a training set, wherein input layers are HR and SpO2The data, the hidden layer is 1 layer, the output layer is the expected movement state, wherein the meaning of the expected movement state is the movement state which can be reached or should be reached by the current physiological state of the user, and the expected movement state is represented by five labels of 'high intensity, medium intensity, low intensity, relaxation and rest';
and 4, step 4: counting real body feelings of the user about five states of high intensity, medium intensity, low intensity, relaxation and rest when the user uses the exercise training device through questionnaires, determining the speed and frequency grading setting of the exercise training device corresponding to the five states of high intensity, medium intensity, low intensity, relaxation and rest, and representing the current exercise state of the user through the setting;
and 5: and comparing the current motion state with the expected motion state, acquiring a motion state difference value, and reporting the current motion state, the expected motion state and the motion state difference value.
Further, the determining whether the user is in the exercise fatigue state includes:
when the heart rate of a user is more than or equal to 72 percent HRR and less than or equal to 78.3 percent HRR and simultaneously is more than or equal to 95 percent SpO2When the weight is less than or equal to 100 percent, the exercise can be continued, if the weight is not in the range, the exercise training is directly stopped, and a rest suggestion is given; wherein HRR is the reserve heart rate.
Further, the method for calculating the reserve heart rate HRR comprises: HRR ═ HRmax-HR0Wherein HR ismaxMaximum heart rate, HR0Resting heart rate, juvenile HR0Is 60 to 70BPM, and the amount of the active carbon is,
HRmax220-a; wherein A is the age of the user.
The application provides a childhood obesity exercise training device based on music excitation, the user passes through motion module carries out the motion training, and passes through 2 real-time supervision heart rate of monitoring module and function oxyhemoglobin saturation information, the real-time wireless transmission of motion data and physiological information data during the motion extremely host computer module 3, host computer module 3 utilizes program algorithm based on HR and SpO2The data is used for obtaining the current motion state, the expected motion state and the motion state difference value of the user, the upper computer module 3 adjusts the speed and the frequency of music playing and the display content of the display 35 according to the current motion state, the expected motion state and the motion state difference value information, so that corresponding motion stimulation or safety reminding is applied to the user, and the user is prompted to adjust the motion state of the user to match the motion state of the userAnd anticipating the motion state to form a system control closed loop.
Although the present application has been described above with reference to specific embodiments, those skilled in the art will recognize that many changes may be made in the configuration and details of the present application within the principles and scope of the present application. The scope of protection of the application is determined by the appended claims, and all changes that come within the meaning and range of equivalency of the technical features are intended to be embraced therein.
Claims (10)
1. A sports training device, characterized in that: the monitoring system comprises a motion module, a monitoring module and a monitoring module, wherein the motion module is connected with an upper computer module; the system comprises a motion module, a monitoring module, a music playing module and an upper computer module, wherein the motion module is used for assisting a user to complete motion training, collecting motion information data and transmitting the motion information data to the upper computer module, the monitoring module is used for collecting physiological information data of the user in real time and transmitting the physiological information data to the upper computer module, and the upper computer module is used for receiving, analyzing and integrating the motion information data and the physiological information data, adjusting the speed and frequency of music playing in real time and displaying current information data and motion prompts.
2. The athletic training device of claim 1, wherein: the exercise module comprises one or more of a treadmill, a hula hoop and a skipping rope, a wireless communication unit is arranged in the treadmill, the wireless communication unit is arranged in the hula hoop, the wireless communication unit is arranged in the skipping rope, and the wireless communication unit collects exercise information data in real time and transmits the exercise information data to the upper computer module.
3. The athletic training device of claim 1, wherein: the monitoring module is intelligent wrist-watch, monitoring bracelet or monitoring pectoral girdle, physiological information includes rhythm of the heart information and blood oxygen information.
4. The athletic training device of claim 1, wherein: the upper computer module comprises a control host, the control host is connected with the communication unit, the control host is connected with the display, and the control host is connected with the sound playing equipment; the control host analyzes the current expected motion state of the user after receiving the motion information data and the physiological information data in real time through the communication unit, compares the expected motion state with the real motion state, and stimulates or safely reminds the user through the sound playing equipment and the display.
5. The athletic training device of claim 4, wherein: the upper computer module further comprises a support, the control host is arranged on the support, the communication unit is arranged on the support, the display is arranged on the support, and the sound playing equipment is arranged on the support.
6. The athletic training device of claim 5, wherein: the support includes the trunk, base, a plywood and two plywoods have set gradually on the trunk.
7. The athletic training device of claim 6, wherein: the base is X type, be provided with the universal wheel on the base.
8. A method of using the exercise training apparatus of any of claims 1 to 7, wherein: the method comprises the following steps:
step 1: real-time heart rate data is acquired through the monitoring module and recorded as HR, and real-time functional blood oxygen saturation data is acquired and recorded as SpO2；
Step 2: according to the HR and the SpO2Judging whether the motion state of the user is suitable for continuing to move, namely judging whether the user is in a motion fatigue state;
and step 3: statistical-based HR and SpO2Establishing a BP neural network model by taking the data as a training set, wherein input layers are HR and SpO2Data, hidden layer is 1 layer, output layer is preA periodic motion state, wherein the prospective motion state means a motion state which can be reached or should be reached by the current physiological state of the user, and the prospective motion state is represented by five labels of 'high intensity, medium intensity, low intensity, relaxation and rest';
and 4, step 4: counting real body feelings of the user about five states of high intensity, medium intensity, low intensity, relaxation and rest when the user uses the exercise training device through questionnaires, determining the speed and frequency grading setting of the exercise training device corresponding to the five states of high intensity, medium intensity, low intensity, relaxation and rest, and representing the current exercise state of the user through the setting;
and 5: and comparing the current motion state with the expected motion state, acquiring a motion state difference value, and reporting the current motion state, the expected motion state and the motion state difference value.
9. The athletic training device of claim 8, wherein: the judging whether the user is in the exercise fatigue state comprises the following steps:
when the heart rate of a user is more than or equal to 72 percent HRR and less than or equal to 78.3 percent HRR and simultaneously is more than or equal to 95 percent SpO2When the weight is less than or equal to 100 percent, the exercise can be continued, if the weight is not in the range, the exercise training is directly stopped, and a rest suggestion is given; wherein HRR is the reserve heart rate.
10. The exercise training device of claim 9, wherein: the method for calculating the reserve heart rate HRR comprises the following steps: HRR ═ HRmax-HR0Wherein HR ismaxMaximum heart rate, HR0Resting heart rate, juvenile HR0Is 60 to 70BPM, and the amount of the active carbon is,
HRmax220-a; wherein A is the age of the user.
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| CN116077887A (en) * | 2022-09-07 | 2023-05-09 | 北京卡路里信息技术有限公司 | Exercise method based on intelligent body-building equipment |
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