Research and design of mood analysis and prediction method based on ECG signal acquisition

Methods related to human emotion analysis and prediction are often used in areas such as advanced human-computer interaction, criminal investigation review, etc. Emotional state recognition contributes to the development of human-computer interaction and to the understanding of human emotions. At the same time, it has been found that human physiological responses often reflect and express emotions more accurately. Based on this status, this paper proposes a method for emotion analysis and prediction based on ECG signal acquisition, which includes ECG signal acquisition, signal denoising, ECG signal feature analysis and extraction, ECG signal-based emotion classification method and classification task evaluation. The method can effectively compare the effects of various methods of emotion analysis, lay the theoretical foundation for other methods of emotion prediction based on ECG signals, and expand the ideas and theoretical foundation for emotion analysis based on physiological signals.