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

Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motivations and emotions of the person it is working with. Recognizing affective states from physiological cues is an effective way of implementing implicit human

• Type: Journal
• Year: 2006
• Where: PAA
• Authors: Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric Vanman
• Keywords: Affective State, Distributed And Parallel Computing, Implicit Human­robot Interaction, Machine, PAA 2006