Design And Implementation Of A Low-complexity Wearable System For Football Sports Monitoring

In recent years,with the promotion and the popularization of football,people have paid much more attention to football.The level of youth football determines the strength of football in the entire region,and campus football is the key point among them.In campus football training,it is necessary to realize the real-time monitoring of athlete’s physical fitness,which can help to learn the health status of athlete and provide timely support to athletes.At this stage,there are also some monitoring equipment for campus football,but they are not widely used because of high complexity,difficulty in erection,high cost,etc.This topic aims to study how to implement a highly integrated wearable intelligent sensing terminal and connect it to the system,as well as building it on a smaller hardware device with lower power consumption.This subject is a comprehensive system scheme design that emphasizes limited hardware size and lower power consumption.It needs to meet the following functions: real-time outdoor positioning,exercise status perception,heart rate monitoring,wireless communication capabilities at a distance of more than 100 meters,multi-point(≥30 points)high-frequency(more than 5 times signal transmissions per second)access capacity,and automatic power-on function.This involves a number of technical challenges,including: 1)designing a smaller-size hardware solution and communication protocol to achieve long-distance communication;2)completing the identification of the motion state under the requirements of low cost and low power consumption;3)Complete the low-power design of the system without shutting down the device,and realize low-power sleep and self-wakeup.With the technical challenges of system,the main contributions of this thesis are as follows:(1)Designing a low-power,high-channel utilization ratio Io T access solution.Each access node(tag)adopts a periodic sleep mode,periodically wakes up and listens to the gateway beacon command,and periodically wakes up access in the specified time slot.The opening hours for node’s radio frequency only accounts for 18% of the power-on working time for the whole system,and the average working current is less than 20 m A;(2)Proposing a low-complexity human jumping behavior recognition algorithm based on acceleration perception.By in-depth observation of the difference between the acceleration signals of jumping and running,a jumping behavior identification algorithm based on the length of time in the air is proposed,and the recognition accuracy of the algorithm is about 83%;(3)Designing a hardware self-sleep and self-awakening scheme without user switch operation.Through low-power heart rate monitoring to determine the decision label,so as to complete the self-sleep and self-wake-up of the tag hardware under the premise of low power consumption;(4)Complete realization of the entire wearable human motion monitoring system,including the hardware design and software development of wearable products,the hardware design and software development of the gateway and the development of the host computer system.Among them,the wearable hardware realizes multiple functions at the same time under the size of 6cm*3cm*1cm,including self-sleeping and self-waking up,GPS data collection,exercise posture monitoring,exercise speed collection,heart rate monitoring,communication distance up to 150 m,The average working current is less than20 m A,and the packet loss rate is less than 8%.This wearable motion monitoring hardware stands for the highest level of integration among similar products on the market,reflecting the rationality and advancement of the overall design.