The fatigue analysis for early warning system based on fuzzy algorithm

Muscle fatigue is one of the main factors that influencing the sports performance and resulting in injuries. In this paper, the fatigue analysis for early warning system based on fuzzy algorithm is developed. The system does not need to construct complex mathematical functions, based on the participants' surface Electromyography (sEMG), heartbeat rate and exercise time after exercise to calculate fatigue level and displays the results in the smartphone to remind exercisers whether to stop or continue. The experimental results show that, when the exercisers have reached the fatigue warning level, the proposed system can alert and display the fatigue status and make expert recommendations, thus reduce the incidence of exercise-induced injuries.