| At present,jogging,mountain-climbing,fitness,dance and other sports activities are being concerned and loved by the masses.The development of these sports has been driving the leaping development of the whole sports industry chain,making the sports consumption demand and consumption capacity continue to improve,thus causing great market demand.Many Internet start-ups companies take this opportunity to turn fragmentation movement into one of the fixed activities in the daily life of users.Under the promotion of the accelerated development of the Internet + fitness industry,the sports related applications have a cosmic explosive growth.However,after user research,most fitness enthusiasts have great difficulties when using sports apps.When the action is not standard,they need to stop exercising and watch the mobile phone screen for guidance,Repeated operation can not achieve the effect of exercise in real time,and often do not perceive their action posture is not standard,resulting in the final muscle strain.In view of the above situation,this paper designs and implements a fitness assistant system based on human posture detection algorithm.Based on the characteristics of being available at any time and walking after use in the wechat small program environment,this paper applies the algorithm technology principle of human posture detection,combined with the main functions of wechat public platform,puts forward the corresponding overall technical framework scheme.In the development environment of wechat small program,using wxml+wxss+Javascript+python programming language,a fitness assistant system of voice prompt,real-time detection and real-time attitude correction has been successfully realized.This small program helps users to carry out action recognition correction and voice correction guidance,which makes fitness enthusiasts achieve twice the result with half the effort.After repeated tests,it can run stably and meet the basic needs of users. |
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