Emotion Analysis in Man-Machine Interaction Systems

Facial expression and hand gesture analysis plays a fundamental part in emotionally rich man-machine interaction (MMI) systems, since it employs universally accepted non-verbal cues to estimate the users’ emotional state. In this paper, we present a systematic approach to extracting expression related features from image sequences and inferring an emotional state via an intelligent rule-based system. MMI systems can benefit from these concepts by adapting their functionality and presentation with respect to user reactions or by employing agent-based interfaces to deal with specific emotional states, such as frustration or anger.

• Type: Conference
• Year: 2004
• Where: MLMI
• Authors: T. Balomenos, Amaryllis Raouzaiou, Spiros Ioannou, Athanasios I. Drosopoulos, Kostas Karpouzis, Stefanos D. Kollias
• Keywords: Emotional States, Hand Gesture Analysis, MLMI 2004, Rich Man-machine Interaction