@inproceedings{5a36f1eb5fbd4023a647193743610b14,
title = "A three-stage decision framework for multi-subject emotion recognition using physiological signals",
abstract = "This paper investigates the potential of physiological signals as reliable channels for multi-subject emotion recognition. A three-stage decision framework is proposed for recognizing four emotions of multiple subjects. The decision framework consists of three stages: (1) in the initial stage, identifying a subject group that a test subject can be mapped to; (2) in the second stage, identifying an emotion pool that an instance of the test subject can be assigned to; and (3) in the final stage, generating the predicted emotion from the given emotion pool for the test instance. In comparison with a series of alternative methods, the high accuracy of 70.04\% achieved by our proposed method clearly demonstrates the potential of the three-stage decision method in multi-subject emotion recognition.",
keywords = "Affective computing, Emotion recognition, Multimodal physiological signals, Subject-independent",
author = "Jing Chen and Bin Hu and Yue Wang and Yongqiang Dai and Yuan Yao and Shengjie Zhao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016 ; Conference date: 15-12-2016 Through 18-12-2016",
year = "2017",
month = jan,
day = "17",
doi = "10.1109/BIBM.2016.7822562",
language = "English",
series = "Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "470--474",
editor = "Kevin Burrage and Qian Zhu and Yunlong Liu and Tianhai Tian and Yadong Wang and Hu, \{Xiaohua Tony\} and Qinghua Jiang and Jiangning Song and Shinichi Morishita and Kevin Burrage and Guohua Wang",
booktitle = "Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016",
address = "United States",
}