The application provides a
gait emotion joint recognition method based on heterogeneous space neural architecture search, comprising the following steps: extracting three-dimensional human posture joints in different emotion video data; performing space conversion, and converting into a rectangular coordinate
system and a
spherical coordinate system respectively; performing position
information space mapping and angle
information space mapping on the joints in different coordinate systems based on a similarity minimization strategy; constructing a neural architecture search space and a joint search strategy in different spaces, searching for optimal backbone networks respectively, and training the optimal backbone networks respectively; extracting human
time sequence gait emotion features in different spaces by using the trained optimal backbone networks, inputting the features into a Softmax classifier, and obtaining scores of different emotions; and performing joint scoring to complete the
gait emotion joint recognition based on the heterogeneous space neural architecture search.