Cognitive Emotion Model for Eldercare Robot in Smart Home  

作　　者：HAN Jing XIE Lun LI Dan HE Zhijie WANG Zhiliang 

机构地区：[1]School of Computer and Communication Engineering,University of Science and Technology Beijing

出　　处：《China Communications》2015年第4期32-41,共10页中国通信（英文版）

基　　金：supported by National Natural Science Foundation of China (Normal Project No. 61170115), (Key Project No.61432004);National Key Technologies R&D Program of China (No.2014BAF08B04);the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services

摘　　要：Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbor algorithm(KNN) are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot's emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm(SA). Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state.Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm （LBP） and k-Nearest Neighbor algorithm （KNN） are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot＇s emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm （SA）. Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state.

关 键 词：eldercare robot cognitive emotionmodel emotional state transition AVS emotionspace expression recognition smart home 

分 类 号：R749[医药卫生—神经病学与精神病学] TU855[医药卫生—临床医学]