Performance Analysis of Projectile Motion Using IoT

Traditional javelin training has primarily relied on biomechanics, kinematical analysis, and coach experience, often lacking quantifiable and patterned training processes, leading to suboptimal results. Despite the difficulty of measuring angle of throw, body posture, and other motion parameters, effective training experiences have not been effectively passed down or referenced. In order to solve the aforementioned issues, the javelin training process must be quantified. For the javelin training procedure to be both quantitative and patterned, embedded systems must be incorporated. In light of this, we designed a smart javelin using embedded systems. The smart javelin can quantify the athlete's javelin throwing rule and recognize the thrower's initial characteristics as well as the thrower's real-time trajectory during the throwing process. Trainers and players can make real-time analysis and training decisions to improve their javelin throw performance.