In order to effectively improve the intelligent interaction of robot,an intelligent interaction and feedback system of psychology and emotion based on deep learning is proposed.Deep learning is realized by separating convolution,and human fa-cial expressions(joy,sadness,anger,fear,etc.)are analyzed and these features are extracted.The experimental results show that the recognition accuracy of the trained model face expression test set can reach 71.1％.The limb movements of NAO robot corresponding to six different facial expressions are designed,respectively.The experimental results show that the robot can complete the recognition and action feedback within 2 s,and the recognition results of 10 consecutive frames are more accurate.
关键词
深度学习/心理情绪/智能交互与反馈系统/机器人/面部表情
Key words
deep learning/psychology and emotion/intelligent interaction and feedback system/robot/facial expression
维普
万方数据