ABSTRACT
Objective:To summarize the methods and results of human motion intention recognition based on the surface electromyography. Methods:Literatures were retrieved and reviewed from the databases of PubMed, Web of Science, CNKI, Wanfang and VIP until December, 2020. The experimental researches about human motion intention recognition based on surface electromyography were summarized. Results:The methods of motion intention recognition were divided into three models: musculoskeletal model, traditional machine learning model and deep learning model. Conclusion:It is difficult to fully estimate human motion intention using surface electromyography in a single way. More researches are needed to develop more accurate and real-time human motion intention recognition methods.