Sports training fatigue recognition using surface electromyography signals on wearable devices

Key Points

• The aim is to utilize surface electromyography signals to recognize fatigue during sports training.
• Utilized surface electromyography signals to monitor muscle activity.
• Developed a wearable device for real-time data collection.
• Analyzed signals to extract indicators of fatigue and performance.
• Identified specific electromyography patterns correlated with fatigue.
• Demonstrated that this method can enhance performance monitoring in athletes.