@inproceedings{d685fad913bc4397a6900516a311de8c,
title = "Emotion Recognition Based on Multi-View Body Gestures",
abstract = "Body gesture, a crucial component of 'body language', remains less explored to recognize emotion while face expression-based and speech-based approaches are widely investigated. In this paper, we introduce an exploratory experiment to recognize emotion using deep learning only from body gestures. 43,200 multi-view RGB videos of simplified body gestures and their neutral control groups are captured from 80 humans using Hikvision network cameras to support the experiment. A novel approach is proposed to use deep neural network fuse skeleton and RGB features only using single-modality RGB video data. Experimental results show our approach achieves substantial improvements both in individual categories and overall and is provided with stronger generalization capability as well.",
keywords = "body gesture, emotion recognition, feature fusion, multi-view",
author = "Zhijuan Shen and Jun Cheng and Xiping Hu and Qian Dong",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 26th IEEE International Conference on Image Processing, ICIP 2019 ; Conference date: 22-09-2019 Through 25-09-2019",
year = "2019",
month = sep,
doi = "10.1109/ICIP.2019.8803460",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "3317--3321",
booktitle = "2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings",
address = "United States",
}