Sen Qiu
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A multi-featured analysis for body sensor networks-based affective actions recognition
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Indexed by:会议论文

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.

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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Main positions:控制科学与工程学院副院长

Other Post:中国电子教育学会高等教育分会理事、辽宁省药学会专委会副主任委员

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:控制科学与工程学院

Discipline:Control Theory and Control Engineering

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