The invention discloses a wearable human 
upper limb muscle fatigue detection and training 
system based on multi-sensor data fusion. The 
system comprises a 
signal acquisition module, a data processingmodule, an alarm module and a human-computer interaction module. A surface 
electromyography sensor, a muscular sound sensor and a blood 
oxygen saturation sensor constitute a multi-sensor acquisition array which are worn on that measured 
upper limb part, and data fusion is carry out based on a 
weighted average method to synthetically calculate the 
muscle fatigue parameters of the 
upper limb, thereby greatly improving the detection accuracy of the 
muscle fatigue of the upper limb. If the parameter reaches the preset value, the 
system can give the fatigue alarm reminder. The system also has the function of 
muscle strength training, By collecting surface 
electromyography signals and 
muscle tone signals to judge human upper limb movements and 
muscle strength, and real-time monitoring 
muscle fatigue status, using 
wireless transmission mode to upload data to the human-computer interaction module, matching with the 
virtual game, make the 
upper limb muscle strength training process more interesting, and effectively improve its 
training effect.