An empirical study of machine learning techniques for affect recognition in human-robot interaction

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2005, Pages 2662-2667

  Liu, Changchun ^a   Rani, Pramila ^a   Sarkar, Nilanjan ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Affect recognition; Emotional robotics; Machine learning; Psychophysiology

Indexed keywords

BAYESIAN NETWORKS; FORESTRY; INTELLIGENT ROBOTS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MACHINE LEARNING; MAN MACHINE SYSTEMS; NEAREST NEIGHBOR SEARCH; PHYSIOLOGY; PSYCHOPHYSIOLOGY; ROBOTICS; SUPPORT VECTOR MACHINES;

AFFECT RECOGNITION; CLASSIFICATION ACCURACY; EMOTIONAL ROBOTICS; IMPLICIT COMMUNICATIONS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; PHYSIOLOGICAL FEATURES; PHYSIOLOGICAL SIGNALS;

HUMAN ROBOT INTERACTION;

EID: 79958005210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2005.1545344     Document Type: Conference Paper

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