Emotional state recognition method and device based on pulse wave multi-feature fusion

Abstract

The invention relates to the technical field of artificial intelligence, in particular to an emotional state recognition method and device based on pulse wave multi-feature fusion, and the method comprises the steps: obtaining and preprocessing an original pulse wave signal of a current user, extracting haemodynamics, pulse rate variation and other key features, and carrying out the dimension reduction optimization of a feature data set, thereby achieving the recognition of an emotional state. And finally, accurate recognition of the emotional state of the user is realized by using the emotional state recognition model, interference signals are effectively eliminated, the recognition efficiency and accuracy are improved, and a reliable technical means is provided for monitoring and analysis of the emotional state of the user. Meanwhile, the pulse wave signals are adopted as the basis of emotional state recognition, convenience of the emotional state detection technology is achieved, complex equipment and professional assistance are not needed, meanwhile, the number of worn sensors is reduced, the data processing difficulty is lowered, and therefore on the basis that high accuracy is kept, the emotional state detection efficiency is improved. And the practicability of emotion state detection and the user experience are remarkably improved.