<p>With the popularization and development of English education, exploring intelligent teaching methods has become a hot research topic. However, most English video teaching systems are based on traditional audio-visual information and lack monitoring and analysis of student muscle movements and emotional states. The research aims to use electromyography sensors and learning situation analysis algorithms to achieve intelligent monitoring and analysis of muscle movements and emotional states of students during English video teaching, providing personalized guidance and feedback for the teaching process. Research on using electromyographic sensors to collect muscle movement data from students, perceive electrical signals of muscle activity, and convert them into digital signals for recording. Using learning situation analysis algorithms to process and analyze muscle action data and emotional state data, extracting useful information from the collected data and analyzing it to understand the physical reactions and emotional state changes of students at different teaching stages. Provide personalized teaching feedback and guidance to students based on their muscle movements and emotional states, helping them better understand and master English knowledge, thereby achieving the goal of intelligent English video teaching.</p>