TWM517628U - Smart monitoring system for athletes - Google Patents

Description

Smart surveillance system for athletes

The present invention relates to a surveillance system, and more particularly to a smart surveillance system for remotely monitoring an athlete's sport mode.

During the training process, athletes usually practice for various sports movements, and the instructors conduct movement guidance and correction. On the one hand, in addition to making the athletes' movements more precise and correct, they can exert maximum performance, on the other hand, When the athlete's movement is abnormal, correct and terminate it immediately to avoid injury to the athlete.

However, the current observation and monitoring of athletes' sports patterns can only be judged by the instructors and judged according to experience. This method is not scientific and cannot effectively find out the impact of subtle changes in the movement on the exercise effect. There is a need for improvement.

Therefore, the purpose of the present invention is to provide a smart surveillance system that can remotely monitor the movement of an athlete.

Therefore, the novel intelligent monitoring system for athletes is suitable for being installed on an athlete to remotely monitor the sports mode of the athlete. The smart monitoring system includes: one for mounting on the athlete Monitoring device, and a remote monitoring device. The monitoring device includes a plurality of sensors, a first radio communicator, and a microprocessor. The sensors are respectively disposed on the body of the athlete, and respectively sense a physiological electrical signal or a limb movement of the athlete to respectively output a sensing data, and the first radio communicator can communicate through a radio communication technology. Wirelessly transmitting the sensing data, the microprocessor is connected to the sensor signals, can control the operation of the sensors, and receive the sensing materials, and can send the first radio communicator And other sensing data. The remote monitoring device includes a second radio communicator that can be coupled to the first radio communicator to receive the sensing data, and a motion mode analysis module that can receive and reconcile the Sensing the data, and analyzing the limb movement pattern in which the athlete is provided with the sensors of the sensors during the movement.

The effect of the novel: through the monitoring device, the sensor can provide the sensing data such as the physiological signal and the limb movement trajectory of the athlete during the movement of the athlete, and the remote monitoring device can receive and analyze the sensing data to establish the The athlete's limb movement mode, and when the abnormality of the limb movement mode occurs, a reminder message is sent immediately, which makes it easy to quickly learn the athlete's proficiency, stability and movements for the movement by scientific data analysis. Information such as accuracy is an innovative intelligent surveillance system designed to train athletes.

3‧‧‧Monitoring device

31‧‧‧First Radio Communicator

32‧‧‧ Sensors

321‧‧‧ signal line

33‧‧‧Microprocessor

331‧‧‧ Signal Terminal

332‧‧‧ Identification unit

333‧‧‧Processing unit

4‧‧‧ Remote monitoring device

41‧‧‧Second radio communicator

42‧‧‧Sports mode analysis module

421‧‧‧ Data Collection Unit

422‧‧‧ mode building unit

423‧‧‧Exception monitoring unit

900‧‧‧ athletes

Other features and effects of the present invention will be apparent from the following description of the drawings, in which: 1 is a perspective view showing a monitoring device of an embodiment of the present invention for an athlete's smart monitoring system, which is disposed on an athlete; FIG. 2 is a perspective view of the embodiment; and FIG. 3 is a functional block of the embodiment. Figure.

As shown in Figures 1, 2 and 3, the embodiment of the present invention for the intelligent monitoring system of the athlete 900 is suitable for implementation on an athlete 900, which facilitates remote observation and monitoring during the training of the athlete 900. The athlete 900 changes in the pattern of exercise during exercise, for example, scouting can observe the performance of the athlete 900 at a distance from the stadium without appearing at the athlete 900. In the present embodiment, the player 900 is described by taking a baseball striker as an example, but in practice, the athlete 900 type is not limited thereto.

The intelligent surveillance system includes a monitoring device 3 for mounting on the athlete 900 and a remote monitoring device 4 coupled to the wireless connection of the monitoring device 3.

The monitoring device 3 includes a first radio communicator 31, a plurality of sensors 32, and a microprocessor 33 connected to the sensors 32 and the first radio communicator 31. The first radio communicator 31 can communicate and transmit data to the remote monitoring device 4 via radio communication technology.

The sensors 32 are electrically connected to the microprocessor 33 through a signal line 321 respectively, and can be respectively used to sense the athlete 900. The physiological electrical signal or limb movement, and output a sensing data. In this embodiment, the sensors 32 are respectively a myoelectric signal sensor and an acceleration gauge, and the electromyography type sensors 32 are used to abut the arm surface of the athlete 900. The muscle signal of the muscle group of the specific part of the arm of the athlete 900 can be measured, and the sensor 32 of the acceleration gauge type is respectively disposed at the upper arm part of the arm and the wrist of the forearm, respectively, during the movement of the arm Inductively outputting a sensing data, but in implementation, the type of sensing data and the setting position of the sensing device 32 can not be limited to the above-mentioned aspects, for example, it can be set to the chest to measure Heartbeat, blood pressure, or type set on the head to measure brainwave signals.

The microprocessor 33 includes a plurality of signal terminals 331 for electrically connecting the sensors 32, an identification unit 332, and a processing unit 333. The identification unit 332 can receive the sensing data generated by the sensors 32 via the signal terminals 331 and respectively carry an identification information in the sensing materials. The micro processing unit 333 can synchronously control the sensors 32 for sensing to output the sensing data, and can transmit the sensing materials with the identification information to the remote via the first radio communicator 31. End monitoring device 4.

The remote monitoring device 4 includes a second radio communicator 41, a display 43, and a motion mode analysis module 42 that is coupled to the second radio communicator 41. The second radio communicator 41 can be connected to the first radio communicator 31 to receive the sensing data.

The motion mode analysis module 42 includes a data collection unit 421, a mode establishing unit 422, and an abnormality monitoring unit 423. The data collecting unit 421 can classify and integrate the sensing signals according to the identification information carried by the sensing signals, for example, respectively sensing the sensing data of the sensor 32 of the acceleration gauge type mounted on the wrist portion and the upper arm portion. To facilitate the analysis by the mode establishing unit 422.

The mode establishing unit 422 can analyze all the sensing materials collected by the data collecting unit 421 for each sensor 32, and establish a limb motion mode of the athlete 900 when completing a specific motion action, and display the display on the display 43. The limb movement pattern. For example, analyzing the sensing data of the types of the electromyography signals and the sensing data of the types of the acceleration signals, and establishing a limb movement pattern when the athlete 900 hits the ball, the information included in the limb movement mode includes the arm specific muscles. The changes in the myoelectric signal during the swing, as well as the trajectory of the forearm and upper arm, and the change in the speed of the swing, etc., are not limited thereto.

The abnormality monitoring unit 423 can receive the limb motion patterns respectively established by the mode establishing unit 422 for repeating the same motion action by the athlete 900, and can generate the latest limb motion pattern generated at the current time point and other previous time points. The limb movement pattern is subjected to comparative analysis, that is, analysis of the difference in sensing data generated by the same sensor 32 in different limb movement modes during the completion of the athletes 900, such as the change in the size of the myoelectric signal, the arm Track changes, as well as changes in arm swing speed. The abnormality monitoring unit 423 presets a threshold value for each of the sensing data change ranges of the respective sensors 32, and when it is analyzed that the sensed data change amplitude of the sensor 32 is greater than the corresponding threshold value, that is, the table The abnormal motion monitoring unit 423 sends an alert message corresponding to the motion of the athlete 900, such as a posture error, improper arm force, etc., and displays the reminder message on the display 43 for holding the remote monitoring. The user of the device 4 can immediately know the abnormal situation of the exercise action currently performed by the athlete 900.

In summary, through the monitoring device 3, during the movement of the athlete 900, the sensory data such as the physiological electrical signal and the limb movement trajectory of the athlete 900 can be measured and transmitted through the long-distance radio communication technology. The design of the test data, and the remote monitoring device 4 can receive and analyze the sensing data, and establish a limb movement pattern when the athlete 900 makes an exercise motion, and can analyze the limb movement pattern of a certain motion action. When an abnormality occurs, a reminder message is sent immediately, so that the scientific data analysis can be used to quickly know the athlete 900's proficiency, stability and motion accuracy of the exercise, and the athlete 900 may be malfunctioning. When it is processed immediately, it can effectively avoid the sports injury of the athlete 900, and it is convenient to promptly propose the correction of the sports action of the athlete 900, or adjust the training mode, which is quite convenient and practical, and is an innovative intelligent monitoring system for training the athlete 900. Design, therefore, can indeed achieve the purpose of this new type.

However, the above is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, that is, the simple equivalent changes and modifications made in accordance with the scope of the present patent application and the contents of the patent specification, All remain within the scope of this new patent.

3‧‧‧Monitoring device

31‧‧‧First Radio Communicator

32‧‧‧ Sensors

33‧‧‧Microprocessor

331‧‧‧ Signal Terminal

332‧‧‧ Identification unit

333‧‧‧Processing unit

4‧‧‧ Remote monitoring device

41‧‧‧Second radio communicator

42‧‧‧Sports mode analysis module

421‧‧‧ Data Collection Unit

422‧‧‧ mode building unit

423‧‧‧Exception monitoring unit

43‧‧‧ display

Claims (6)

A smart surveillance system for an athlete, adapted to be installed on an athlete to remotely monitor the sport mode of the athlete, the smart surveillance system comprising: a monitoring device adapted to be mounted on the athlete, including: Sensors are respectively disposed on the body of the athlete, and respectively sense the physiological electrical signal or the limb movement of the athlete to respectively output a sensing data, a first radio communicator, which can communicate through radio communication technology Wirelessly transmitting the sensing data, and a microprocessor coupled to the sensor signals to control operation of the sensors and receive the sensing materials, and transmit the first sensing device via the first radio communicator The sensing data; and a remote monitoring device, comprising: a second radio communicator, connectable to the first radio communicator signal to receive the sensing data, and a motion mode analyzing module receivable Consolidating the sensing materials and analyzing the limbs of the athletes in which the limbs of the sensors are located during the movement Mode. The smart monitor system for an athlete according to claim 1, wherein the microprocessor includes a plurality of signal terminals respectively connected to the sensor signals, and a signal is connected to the signal terminals to identify the signals. An identification unit of the sensing data received by the signal terminal, and a processing unit The identification unit may respectively carry an identification information in the sensing materials, and the processing unit may synchronously control the sensors to sense and output the sensing data, and may drive the first radio communicator to carry the identification information. Sensing data identifying the information is transmitted to the remote monitoring device. The intelligent monitoring system for an athlete according to claim 2, wherein the motion mode analysis module includes a data collecting unit that can classify and sense the sensing data according to the identification information of the sensing data. A mode establishing unit that can synchronously analyze all the sensing data collected by the data collecting unit for each sensor to establish a limb motion mode, and an abnormality monitoring unit that can receive and analyze the mode establishing unit in different The limb movement mode is established at the time point, and an alert message is sent correspondingly when the limb movement pattern changes abnormally. The intelligent monitoring system for an athlete according to claim 3, wherein the abnormality monitoring unit is the sensing data of the limb movement mode established by the mode establishing unit at the current time point, and other previous time points. The sensing data of the established limb movement pattern is compared, and the reminder message is sent when the amount of change of the sensing data corresponding to the same sensor is greater than a specific threshold. The smart monitor system for an athlete according to claim 1, wherein the sensors are respectively attached to the body surface of the athlete, and the physiological signals of the athlete are respectively sensed to output the sense. Measuring data. The smart monitor system for an athlete according to claim 1, wherein the sensors are respectively responsive to the athlete during the exercise. The acceleration gauge of the limb trajectory.