Indexed by:Conference Paper

Date of Publication:2019-05-06

Included Journals:EI

Page Number:345-349

Abstract:Social interactions are frequent and important in daily life. In this paper, we present a multi-featured analysis for recognizing affective actions collected based on body sensor networks. After nonverbal cues that related to emotions are collected from dyadic interactions, we investigate the recognition performance considering different feature dimensions. Besides, recognition accuracy rate of combining different sensor nodes are also evaluated for investigating optimal placements of inertial sensors. ? 2019 IEEE.