TWI784774B - Smart feedback device and systematic method for physiological image and signal - Google Patents

Abstract

Disclose is a smart feedback device and systematic method for physiological image and signal. The smart feedback device for physiological image and signal includes a physiological sensing unit, an image unit, a data fetching unit, a data transmitting unit, a cloud database, a cloud processing unit, and a feedback unit. The systematic method employs the smart feedback device in collocation with a sporting device to integrate a plurality of physiological signals and image data, and is further provided with personal recognition and cloud storage and computation to generate a warning feedback in accordance with risky movement or motion so as to help the user to intrinsically understand the current status of exercise and instantly correct any unsuitable movement or pose, thereby greatly improving safety of exercise, effectively increasing the whole efficiency, and avoiding any potential harm.

Description

Intelligent Physiological and Image Signal Feedback Device and System Method

The present invention relates to an intelligent physiological and image signal feedback device and system method, especially integrating multiple physiological signals and image signals, and matching personal identification, cloud storage, and computing technologies, and also provides warning feedback of dangerous actions. In turn, it helps users to intuitively understand the current performance of their own sports, and immediately corrects improper movements or postures, which can greatly improve sports safety, effectively improve the overall efficiency of sports training, and avoid any sports injuries.

In recent years, people's requirements for the quality of sports training have been increasing, and patients who need rehabilitation after injuries also need to do more home training to improve the therapeutic effect, so high-quality sports equipment is in great demand.

In addition, with the government's vigorous promotion of health promotion policies and the improvement of the national sports atmosphere, a large number of public and private sports centers and gymnasiums have begun to be established, making it easy for the public to go to the sports field for training. For people who are accustomed to exercise, the various sports equipment in the field cannot fully grasp and be familiar with its operation. Therefore, exercise often occurs due to excessive training weight, too many training times, or incorrect movements during training. harm.

At present, although there are professionals in many sports fields who can provide consultation and guidance, but limited by manpower arrangements and limited resources, it is impossible to have professionals to guide actions at any time. Therefore, how to remind users to use it correctly at any time? Sports equipment and adjusting one's own movement to meet training needs or avoid injuries has become a major challenge in the development of sports equipment.

Furthermore, for groups with rehabilitation training needs, it is very important to continue to exercise with appropriate intensity and frequency. Muscle strength and neuromuscular control exercises are often required in rehabilitation programs and sports training to improve symptoms of discomfort or adjust biomechanics.

Furthermore, for athletes after injury, the recovery of neuromuscular control is a key decision for them to return to the sports field, and during the training process, therapists or trained professionals often need to perform exercise postures on patients or athletes. Correction, assessment of physiological condition, or confirmation of muscle output. However, in the intervention or training process, in order to promote the rehabilitation process and achieve the best training effect, it is usually hoped that patients or athletes can perform autonomous movement training near their homes or nearby areas. However, there is currently no complete system or method that allows the user to provide feedback on the above physiological performance during voluntary exercise. Therefore, in order to ensure the safety of users, high-intensity and high-risk training menus will be avoided as much as possible. However, this restriction will easily lead to a delay in recovery or training progress, which is not a good thing for overall health promotion or recovery after illness.

As we all know, knee osteoarthritis (knee OA) is a common disease that causes dysfunction in the elderly population, and many past studies have confirmed that appropriate exercise training for patients with knee joint degeneration can effectively improve joint pain and function obstacle. In sports training, stationary cycling is the most commonly used, because stationary cycling is easy to obtain and operate, and no special learning is required. However, there is currently no appropriate feedback system and method for training methods It is matched with the stepping strategy, so that the practical application and training benefits are quite limited.

On the other hand, although sports devices have been able to meet the general needs due to the continuous innovation of the industry, they still lack an effective user feedback mechanism and are still limited to a single physiological or image signal, so the practical application is not very effective. The help of sports training and rehabilitation is quite limited.

Therefore, there is a great need for an innovative intelligent physiological and image signal feedback device and system method, which integrates multiple physiological signals and image signals, and is equipped with personal identification, cloud storage, and computing technologies, and also provides warning feedback of dangerous actions. Furthermore, it helps users to intuitively understand the current performance of their own sports, and correct improper movements or postures in real time, which can greatly improve the safety of sports, effectively improve the overall efficiency of sports training, and avoid any sports injuries, so as to solve the problems of the above-mentioned conventional technologies.

The main purpose of the present invention is to provide an intelligent physiological and image signal feedback device, which includes a physiological sensing unit, an image unit, a data acquisition unit, a data transmission unit, a cloud database, a cloud computing unit and a feedback unit, for matching with Sports equipment used by users for exercise or training, such as stationary bicycles, treadmills, steppers, slide machines, pulley machines or elliptical machines, thereby providing physiological feedback functions.

Specifically, the physiological sensing unit is used to sense the user to generate and transmit sensing information, such as a myoelectric sensor, an electrocardiographic sensor, and an inertial sensor, and the image unit is used to photograph the user. The generation and transmission of user image information may include, for example, a camera, and the data acquisition unit connected to the physiological sensing unit and the image unit receives and forwards the sensing information and user image information.

In addition, the data transmission unit is connected to the data acquisition unit to receive sensing information and user image information, and receives personal information from the data input unit, and the personal information corresponds to the user, and then combines the sensing information and user image Generate and transmit user information to the cloud network based on personal information and personal information. At the same time, it also receives and forwards the current exercise status information from the sports device to the cloud network.

Furthermore, the cloud database includes exercise history information corresponding to the user, and is connected to the data transmission unit through the cloud network, to receive and store user information and current exercise status information, and then update the stored exercise history information for reading.

The above-mentioned cloud computing unit is electrically connected to the cloud database or connected to the cloud database through the cloud network to read the motion history information, and based on the sensing information in the motion history information, the user image information and the current The motion status information is used for motion judgment processing, and then generates and transmits motion suggestion information and motion warning information.

In particular, the feedback unit includes an image output device and an audio output device, and is electrically connected to the cloud computing unit or connected to the cloud computing unit through a cloud network to receive action suggestion information and action warning information, and then according to the action suggestion information And action warning information to perform feedback operation, wherein the feedback operation includes driving the image output device and the audio output device to respectively play the feedback image and the feedback sound, which are used for the user's reference and real-time adjustment of the movement and posture of using the sports device.

In addition, another object of the present invention is to provide an intelligent physiological and image signal feedback system method, which includes the following steps performed in sequence. Firstly, the intelligent physiological and image signal feedback device is set up, and the intelligent physiological and image signal feedback device includes a physiological sensing unit, an image unit, a data acquisition unit, a data transmission unit, a cloud database, a cloud computing unit and a feedback unit.

Then, the exercise device is set up, and the data transmission unit is used to input the personal information corresponding to the user, and the user uses the exercise device to exercise, and then, the intelligent physiological and image signal feedback device is matched with the exercise device to achieve physiological Feedback operation.

Specifically, the above-mentioned physiological feedback operation includes: the physiological sensing unit senses the user to generate and transmit sensing information; the imaging unit shoots the user to generate and transmit user image information; the data acquisition unit is connected to The physiological sensing unit and the image unit are used to receive and transmit the sensing information and user image information; the data transmission unit is connected to the data acquisition unit to receive the sensing information and user image information, and receive data from the Input the personal information of the unit, and combine the sensing information, user image information and personal information to generate and transmit user information to the cloud network, and at the same time receive and forward the current exercise status information to the cloud network; the cloud database includes Corresponds to the user's exercise history information, and is connected to the data transmission unit through the cloud network to receive and store user information and current exercise status information to update the exercise history information for reading; the cloud computing unit is electrically Connect to the cloud database or connect to the cloud database through the cloud network to read the sports history information, and generate and transmit the motion performance information according to the sensing information and user image information in the sports history information, and at the same time for The current motion status information, sensing information and user image information are judged and processed to generate and transmit action suggestion information and action warning information. The cloud computing unit can also generate and transmit the user's personal identification information based on the user image information; And the feedback unit electrically connected to the cloud computing unit or connected to the cloud computing unit through the cloud network receives the action suggestion information and the action warning information, and then performs the feedback operation according to the action suggestion information and the action warning information.

More specifically, the above-mentioned feedback unit includes an image output device and an audio output device, and the feedback operation includes driving the image output device and the audio output device to respectively play the feedback image and the feedback sound for the user's reference and real-time adjustment. Movement and posture of the movement device.

Therefore, the present invention essentially integrates multiple physiological signals and video signals, and uses personal identification, cloud storage, and calculation technologies, and also provides warning feedback of dangerous actions, thereby helping users to intuitively understand the current performance of their own sports, and Immediately correcting improper movements or postures can greatly improve sports safety, effectively improve the overall efficiency of sports training, and avoid any sports injuries.

The implementation of the present invention will be described in more detail below in conjunction with the diagrams and component symbols, so that those skilled in the art can implement it after studying this specification.

Please refer to the first figure, which is a schematic diagram of an intelligent physiological and video signal feedback device according to a first embodiment of the present invention. As shown in the first figure, the intelligent physiological and image signal feedback device of the first embodiment of the present invention includes a physiological sensing unit 10, an image unit 20, a data acquisition unit 30, a data transmission unit 40, a cloud database 50, a cloud The computing unit 60 and the feedback unit 70 are used to cooperate with the exercise device 80 used by the user P for exercise or training, and provide physiological feedback functions to help the user P understand easily and accurately in an intuitive way The current performance of your own sports or training can effectively improve the overall efficiency of sports training, and immediately correct improper movements or postures to avoid any sports injuries and greatly improve sports safety.

For example, exercise device 80 may include a stationary bike, treadmill, stepper, slide machine, pulley machine, or elliptical machine.

Overall, the physiological sensing unit 10 is used to sense the user P to generate and transmit sensing information A. For example, the physiological sensing unit 10 may include an electromyographic sensor, an electrocardiographic sensor, and an inertial sensor. Respectively attached or worn on the user P to generate electromyographic sensing signals, electrocardiographic sensing signals and inertial sensing signals by sensing, and the sensing information includes electromyographic information, electrocardiographic information and inertial information, and electromyographic sensing signals The measuring signal, the electrocardiographic sensing signal and the inertial sensing signal are respectively included in the electromyographic information, the electrocardiographic information and the inertial information. Essentially, EMG information may include Electromyogram (EMG).

The electromyogram produced by recording muscle electrical activity with a myoelectric recorder is a very useful reference in clinical practice, especially regarding the conduction of motor and sensory nerve fibers, and it is of special value for examining peripheral nerve injuries. On the whole, the clinical value of electromyography lies in: analyzing the pattern of abnormal waves, differentiating various muscle diseases, identifying neurogenic or myogenic atrophy, and muscle weakness; studying the pathology of the neuromuscular junction or the lesions of the muscle itself; Research on nerve and muscle dysfunction caused by metabolic diseases; detection of latent myopathy or motor nerve disorder; understanding the recovery process and nerve regeneration after motor nerve injury; using multiple surface electrodes to simultaneously record the electromyogram of muscle groups to understand Muscle dynamics during normal exercise or involuntary exercise; the use of electrical stimulators to induce myoelectric potentials and stimulate nerves to measure peripheral nerve conduction velocity is helpful for understanding ergonomics and exercise physiology.

However, it should be noted that the above-mentioned myoelectric sensor, electrocardiographic sensor and inertial sensor are just exemplary examples for explaining the characteristics of the present invention, and are not intended to limit the scope of the present invention. In other words, the type and number of sensors included in the physiological sensing unit 10 can be adjusted according to actual needs, so as to achieve the best effect. For example, a blood oxygen sensor can be used, or multiple myoelectric sensors can be attached to the user. Appropriate parts of limbs, body, head.

In addition, the image unit 20 is used to capture the user P to generate and transmit the user image information B, such as a video camera. It includes posture, movement, degree of exertion and speed. Furthermore, the data acquisition unit 30 is connected to the physiological sensing unit 10 and the image unit 20 for receiving and forwarding the sensing information A and the user image information B. Further, the physiological sensing unit 10 and the imaging unit 20 are connected to the data acquisition unit 30 in a wired or wireless way, wherein the wired way may include electrical connection, and the wireless way may include Bluetooth or WiFi.

The above-mentioned data transmission unit 40 is connected to the data acquisition unit 30 for receiving sensing information A and user image information B, and receiving personal information C from the data input unit U, and the personal information C corresponds to the user P , such as personal information C can include name, gender, age, or sports preferences, exercise frequency, or even disease, and then combined with sensing information A, user image information B and personal information C to generate and transmit user information D to The cloud network N receives and forwards the current exercise state information E from the exercise device 80 to the cloud network N at the same time. Taking a stationary bicycle as the exercise device 80 as an example, the current exercise state information E may include pedal resistance, wheel speed, and operation time, so as to represent the intensity of the exercise. Taking the treadmill as the exercise device 80 again as an example, the current exercise state information E may include the moving speed of the running slide board and the accumulated running time.

Further, the cloud database 50 includes exercise history information F corresponding to the user P, and is connected to the data transmission unit 40 via the cloud network N, for receiving and storing user information D and current exercise state information E for updating The stored exercise history information F is available for reading.

More specifically, the cloud computing unit 60 is electrically connected to the cloud database 50 or is connected to the cloud database 50 via the cloud network N, for reading the motion history information F, and according to the sensing information in the motion history information F A. The user's image information B and the current exercise state information E are used for action judgment processing, and then action suggestion information G and action warning information H are generated and transmitted.

The above-mentioned feedback unit 70 is electrically connected to the cloud computing unit 60 or connected to the cloud computing unit 60 through the cloud network N to receive the action suggestion information G and the action warning information H, and then according to the action suggestion information G and the action warning information H for feedback operation. For example, the feedback unit 70 may include an image output device 71 and an audio output device 72, and the feedback operation includes driving the image output device 71 and the audio output device 72 to respectively play a feedback image and a feedback sound for reference by the user P And adjust the action and posture when using the exercise device 80 in real time.

In other words, the image output device 71 and the audio output device 72 can be realized by using traditional displays and speakers respectively, or using a tablet computer or a smart phone as the feedback unit 70, so there is no need to configure additional specially designed devices, and the overall construction Very simple and easy to implement.

Further, the above-mentioned feedback image may include at least one of visually understandable charts, diagrams, signs, data, colors, lights, and light and shadows, so users can clearly understand the action status in an intuitive manner and whether they need to Immediately correct wrong or bad actions, postures, and applied force, and keep abreast of physiological states, such as electromyography, heartbeat, blood pressure, and blood oxygen levels. In particular, the operating state and operating parameters of the exercise device 80 can be observed, such as fixed The rotation speed of the wheel of the bicycle and the speed of the sliding plate of the treadmill provide immediate and effective feedback to help the user adjust the best exercise, training or rehabilitation.

Furthermore, the above-mentioned feedback sound may include at least one of motion correction voice, danger warning voice, and warning sound, which are used to remind the user to pay attention to correct the motion when an incorrect motion occurs, avoid sports injuries, and improve the user experience. on security.

For example, when the user uses a stationary bicycle and the upper body deviates to the left, it may be caused by improper pedaling force or weak right leg muscles. The present invention can use the feedback unit 70 to display the left deviation Icons or signs are used to remind the user to pay attention, and at the same time, the feedback unit 70 sends out action correction voices, such as correcting the posture to the right, or a danger warning voice, such as the posture is too far to the left and there is a risk of injury. Therefore, the user can immediately adjust the posture and avoid sports injuries.

In addition, the cloud database 50 further includes a personal identification image corresponding to the user P, such as a headshot or a full-body photo, wherein the personal identification image is generated after being shot by the image unit 20 and transmitted by the data acquisition unit 30 and the data transmission unit 40 to the cloud network N, and then received by the cloud database 50 and stored for reading. Furthermore, the cloud computing unit 60 performs personal identification by reading the personal identification images stored in the cloud database 50, and performs motion judgment processing only after the personal recognition is successful, and does not perform the motion judgment if the personal recognition is unsuccessful. deal with. Therefore, the function of personal identification can prevent leakage of personal privacy or personal information.

Overall, the intelligent physiological and image signal feedback device of the first embodiment of the present invention integrates multiple physiological signals and image signals, and is equipped with personal identification, cloud storage, and computing technologies, and also provides warning feedback of dangerous actions. In turn, it helps users to intuitively understand the current performance of their own sports, and immediately corrects improper movements or postures, which can greatly improve sports safety, effectively improve the overall efficiency of sports training, and avoid any sports injuries.

Further referring to FIG. 2 , it is a schematic diagram of the operation flow of the intelligent physiological and image signal feedback system method according to the second embodiment of the present invention. As shown in the second figure, the intelligent physiological and image signal feedback system method of the second embodiment includes steps S10, S20, S30, S40, and S50 performed in sequence to provide intelligent feedback functions and greatly improve the overall efficacy.

Specifically, the intelligent physiological and image signal feedback system method of the second embodiment of the present invention starts from step S10, which is to set the intelligent physiological and image signal feedback device, and the setting of the intelligent physiological and image signal feedback device includes physiological sense Measurement unit, image unit, data acquisition unit, data transmission unit, cloud database, cloud computing unit and feedback unit. Since the main technology of setting up the intelligent physiological and video signal feedback device has been explained in detail in the first embodiment, it will not be repeated below.

Then enter step S20, which is to set the exercise device, wherein the exercise device may include a stationary bicycle, a treadmill, a stepper, a slide machine, a pulley machine or an elliptical machine, as described in the first embodiment.

Then in step S30, the user uses the data transmission unit to input the personal information corresponding to the user, and then enters step S40, where the user uses the exercise device to exercise.

Finally, step S50 is executed, and the intelligent physiological and video signal feedback device is combined with the exercise device to realize the physiological feedback operation, and the physiological feedback operation is shown in the third figure, including steps S51, S52, S53, S54, S55, S56 and S57 .

In step S51, the physiological sensing unit senses the user to generate and transmit sensing information, and in step S52, the image unit shoots the user to generate and transmit user image information, and in step S53, The data acquisition unit is connected to the physiological sensing unit and the imaging unit to receive and transmit sensing information and user image information, wherein step S51 and step S52 can be performed simultaneously or sequentially in any order.

Then in step S54, the data transmission unit is connected to the data acquisition unit to receive sensing information and user image information, and receive personal information from the data input unit, and combine the sensing information, user image information and Personal information is generated and transmitted to the cloud network, and at the same time, the current exercise status information is also received and forwarded to the cloud network.

Then in step S55, the cloud database contains the exercise history information corresponding to the user, and is connected to the data transmission unit via the cloud network to receive and store user information and current exercise status information to update the exercise Historical information for reading. Then in step S56, the cloud computing unit is electrically connected to the cloud database or connected to the cloud database through the cloud network to read the exercise history information, and according to the sensing information and the user in the exercise history information The image information is used to generate and transmit motion performance information. At the same time, it also performs motion judgment processing on the current motion status information, sensing information, and user image information to generate and transmit motion suggestion information and motion warning information. In addition, the cloud computing unit can also generate and transmit the user's personal identification information based on the user's image information.

Finally, in step S57, the feedback unit electrically connected to the cloud computing unit or connected to the cloud computing unit via the cloud network receives the action suggestion information and the action warning information, and then performs the feedback operation according to the action suggestion information and the action warning information , and the feedback unit includes an image output device and an audio output device, wherein the feedback operation includes driving the image output device and the audio output device to play the feedback image and the feedback sound respectively, so as to provide the user with reference to real-time adjustment of the action of using the sports device and posture.

In order to further simplify the overall structure and system configuration, the image unit and the feedback unit can be combined into an integrated unit, and installed on the sports device to facilitate the shooting of the user, and for the user to watch the feedback image and listen to the feedback sound. Taking a stationary bicycle as an exercise device as an example, the integrated unit can be placed in the middle of the handlebar of the stationary bicycle, so when the user steps on the stationary bicycle, he can naturally look forward to see the feedback video played by the integrated unit, While listening to the feedback sound, maintain the general bicycle riding posture, which is ergonomic, and the image unit can capture the frontal image of the user's upper body for the cloud computing unit to judge whether the exercise posture is left or right, or too forward Lean or lean back. Alternatively, only the image output device can be combined with the image unit and arranged in the middle of the handlebar of the stationary bicycle, and the audio output device is worn by the user in the form of earphones, so as to reduce the sound interference to other nearby users.

In addition, the physiological sensing unit can also be realized by using a smart watch or a health bracelet with physiological sensing function and wireless communication function, and wirelessly connects with the data acquisition unit to transmit sensing information, but the data acquisition unit also The wireless communication function must be configured, which can save the layout of electrical connection lines and make it more convenient to use.

Since knee osteoarthritis is one of the main barriers to the function of the elderly, patients with knee osteoarthritis are taken as an example to illustrate the specific effects of the present invention.

Many studies in the past have confirmed that appropriate exercise training is needed for patients with knee joint degeneration to effectively improve joint pain and dysfunction. However, there is no proper feedback system and method for the training benefits of stationary bicycle exercise that is conveniently obtained by patients In order to maintain the best training method and pedaling strategy, the practical application is limited. In other words, the exercise device of the traditional stationary bicycle lacks effective biofeedback.

In the application example, the present invention provides as many as 14 patients with knee joint degeneration to carry out appropriate exercise training, and divide them into two groups, one of which is the control group, which only uses traditional stationary bicycles without feedback mechanism as exercise devices , and the other group is the feedback group, which uses the vastus medialis (VM) EMG feedback mechanism as one of the examples of the feedback unit of the present invention, and is matched with a stationary bicycle exercise device, as shown in the fourth figure shown.

The overall training of the control group and the feedback group lasted for six weeks, two sessions per week, a single session of 30 minutes of stationary bicycle exercise training, and compared the knee joint function questionnaire, pain scale, muscle strength, and muscle endurance of the patients before and after the training and the difference in muscle activation every five minutes during cycling.

The results showed that functional performance, pain on the affected side, muscle strength and muscle endurance could not be significantly improved by six weeks of cycling training, and there was no difference between groups. However, during stationary cycling, EMG feedback could make The patient's recruitment of muscles during exercise (higher maximal and minimal muscle activation) was not present in the target muscle (vastus medialis) but in the adjacent rectus femoris. Therefore, the benefits generated by the feedback unit of the present invention are quite obvious and have industrial applicability.

To sum up, the feature of the present invention is to integrate multiple physiological signals and image signals, and to use personal identification, cloud storage, and calculation technologies, and also provide warning feedback of dangerous actions, thereby helping users to intuitively understand the current state of their own movement Improper movement or posture can be corrected immediately, which can greatly improve sports safety, effectively improve the overall efficiency of sports training, and avoid any sports injuries.

The above are only preferred embodiments for explaining the present invention, and are not intended to limit the present invention in any form. Therefore, any modification or change of the present invention made under the same spirit of the invention , should still be included in the scope of protection intended by the present invention.

10: Physiological sensing unit 20: Image unit 30: Data acquisition unit 40: Data transmission unit 50:Cloud database 60: Cloud Computing Unit 70:Feedback unit 71: Image output device 72: Audio output device 80:Motion device A: Sensing information B: User image information C: Personal Information D: User information E: Current exercise status information F: Sports history information G: Action suggestion information H: Action warning information N: cloud network P: user U: data input unit S10, S20, S30, S40, S50: steps S51, S52, S53, S54, S55, S56, S57: steps

The first figure shows a schematic diagram of an intelligent physiological and video signal feedback device according to a first embodiment of the present invention. The second figure shows a schematic diagram of the operation flow of the intelligent physiological and image signal feedback system method according to the second embodiment of the present invention. The third figure shows a schematic diagram of the operation flow of the physiological feedback operation in the intelligent physiological and image signal feedback system method according to the second embodiment of the present invention. Figure 4 shows a schematic diagram of an application example according to the present invention.

10: Physiological sensing unit

20: Image unit

30: Data acquisition unit

40: Data transmission unit

50:Cloud database

60: Cloud Computing Unit

70:Feedback unit

71: Image output device

72: Audio output device

80:Motion device

A: Sensing information

B: User image information

C: Personal information

D: User information

E: Current exercise status information

F: Sports history information

G: Action suggestion information

H: Action warning information

N: cloud network

P: user

U: data input unit

Claims (10)

An intelligent physiological and image signal feedback device is used to provide physiological feedback function to a user using the exercise device in conjunction with an exercise device, including: a physiological sensing unit, which is used to sense the user and generate and transmit a sensing information; an image unit is used to photograph the user to generate and transmit a user image information; a data acquisition unit is connected to the physiological sensing unit and the image unit for receiving and forward the sensing information and the user image information; a data transmission unit is connected to the data acquisition unit to receive the sensing information and the user image information, and receive input from a data input unit A personal information, and the personal information corresponds to the user, and then combines the sensing information, the user image information and the personal information to generate and transmit a user information to a cloud network, and receive and forward from A current exercise status information of the exercise device is sent to the cloud network; a cloud database includes a exercise history information corresponding to the user, and is connected to the data transmission unit through the cloud network for use in Receive and store the user information and the current exercise status information and update the exercise history information for reading; a cloud computing unit is electrically connected to the cloud database or connected to the cloud database through the cloud network , used to read the exercise history information, and generate and transmit an action performance information based on the sensing information and the user image information in the exercise history information, and at the same time target the user image information and the current exercise state information Generate and transmit an action suggestion information and an action warning information by performing an action judgment process; and a feedback unit having an audio-visual playback function and being electrically connected to the cloud computing unit or connected to the The cloud computing unit is used to receive the action suggestion information and the action warning information, and then perform a feedback operation based on the action suggestion information and the action warning information to play the action suggestion information and the action warning information, and the feedback unit includes An image output device and an audio output device, and the feedback operation includes driving the image output device and the audio output device to A feedback image and a feedback sound are respectively played for the user's reference to adjust the action and posture of using the exercise device in real time. The intelligent physiological and image signal feedback device as described in Claim 1, wherein the exercise device includes a stationary bicycle, a treadmill, a stepper, a slide machine, a pulley machine or an elliptical machine. The intelligent physiological and image signal feedback device as described in claim item 1, wherein the physiological sensing unit includes a myoelectric sensor, an electrocardiographic sensor and an inertial sensor, which are respectively attached or worn on the Or by sensing to generate a myoelectric sensing signal, an electrocardiographic sensing signal, and an inertial sensing signal, and the sensing information includes an electromyographic information, an electrocardiographic information, and an inertial information, and the electromyographic sensing signal, The electrocardiographic sensing signal and the inertial sensing signal are respectively contained in the electromyographic information, the electrocardiographic information and the inertial information. The intelligent physiological and image signal feedback device as described in claim 1, wherein the physiological sensing unit and the data acquisition unit are connected in a wired way or a wireless way, and the wired way includes electrical connection, and the The wireless method includes Bluetooth (Blue Tooth) or WiFi, the feedback image includes at least one of a chart, a data, a color, and a light and shadow, and the feedback sound includes a motion correction voice, a danger warning voice, and a warning at least one of the sounds. The intelligent physiological and image signal feedback device as described in Claim 1, wherein the cloud database further includes a personal identification image corresponding to the user, and the personal identification image is generated after being shot by the imaging unit and captured by the data The fetching unit and the data transmission unit are sent to the cloud network, and then received by the cloud database and stored for reading, and the cloud computing unit reads the personal identification image stored in the read cloud database to perform a personal identification identified, and when the individual is identified as The action judgment process is performed only after the identification is successful, and if the person identification is unsuccessful, the action judgment process is not performed. A method for an intelligent physiological and image signal feedback system, including: installing an intelligent physiological and image signal feedback device, and including a physiological sensing unit, an image unit, a data acquisition unit, a data transmission unit, and a cloud data Library, a cloud computing unit and a feedback unit; set up an exercise device; use the data transmission unit to input a personal information corresponding to the user; exercise by a user through the exercise device; and by the intelligent physiological And the image signal feedback device is matched with the exercise device to realize a physiological feedback operation, wherein the physiological feedback operation includes: the physiological sensing unit senses the user to generate and transmit a sensing information; the imaging unit captures the The user generates and transmits a user image information; the data acquisition unit is connected to the physiological sensing unit and the image unit for receiving and retransmitting the sensing information and the user image information; from the data The transmission unit is connected to the data acquisition unit for receiving the sensing information and the user image information, and receiving personal information from a data input unit, and combining the sensing information, the user image information and the personal information Generate and send a user information to a cloud network based on the information, and receive and forward a current exercise status information to the cloud network at the same time; the cloud database contains a movement history information corresponding to the user, and is Connect to the data transmission unit via the cloud network, to receive and store the user information and the current exercise status information, and update the exercise history information for reading; The cloud computing unit is electrically connected to the cloud database or connected to the cloud database through the cloud network to read the motion history information, and according to the sensing information and the usage in the motion history information generate and transmit a motion performance information based on the user image information, and simultaneously perform a motion judgment process on the current motion state information, the sensing information and the user image information to generate and transmit a motion suggestion information and a motion warning information; and The feedback unit electrically connected to the cloud computing unit or connected to the cloud computing unit via the cloud network receives the action suggestion information and the action warning information, and then performs an action based on the action suggestion information and the action warning information. Feedback operation, and the feedback unit includes an image output device and an audio output device, and the feedback operation includes driving the image output device and the audio output device to respectively play a feedback image and a feedback sound for the user Refer to and adjust the action and posture of using the exercise device in real time. The intelligent physiological and image signal feedback system method as described in Claim 6, wherein the exercise device includes a stationary bicycle, a treadmill, a stepper, a slide machine, a pulley machine or an elliptical machine. The intelligent physiological and image signal feedback system method as described in claim item 6, wherein the physiological sensing unit includes a myoelectric sensor, an electrocardiographic sensor and an inertial sensor, which are respectively attached or worn on the The user generates a myoelectric sensing signal, an electrocardiographic sensing signal, and an inertial sensing signal by sensing, and the sensing information includes an electromyographic information, an electrocardiographic information, and an inertial information, and the electromyographic sensing signal , the electrocardiographic sensing signal and the inertial sensing signal are respectively included in the electromyographic information, the electrocardiographic information and the inertial information. The intelligent physiological and image signal feedback system method as described in claim 6, wherein the physiological sensing unit and the data acquisition unit are connected in a wired way or a wireless way, and the wired way includes electrical connection, and The wireless method includes Bluetooth (Blue Tooth) or WiFi, the feedback The image includes at least one of a chart, a data, a color, and a light and shadow, and the feedback sound includes at least one of an action correction voice, a danger warning voice, and a warning sound. The intelligent physiological and image signal feedback system method as described in Claim 6, wherein the cloud database further includes a personal identification image corresponding to the user, and the personal identification image is generated by the image unit after shooting and using the data The capture unit and the data transmission unit are sent to the cloud network, and then received and stored by the cloud database for reading, and the cloud computing unit reads the personal identification image stored in the read cloud database to perform A person is identified, and the action judgment process is performed only after the individual identification is successful, and if the individual identification is unsuccessful, the action determination process is not performed.

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