Study of Emotion Recognition under Anxiety Based on Physiological Signals by Relief Method
10.3969/j.issn.1671-7104.2014.03.007
- VernacularTitle:基于Relief特征选择算法与多生理信号的焦虑状态识别
- Author:
Pei LEI
1
;
Jing WANG
;
Xinwei ZHOU
;
Xinyu CHAI
Author Information
1. 上海交通大学生物医学工程学院
- Keywords:
Emotion recognition;
Anxiety;
Relief;
kNN;
SVM
- From:
Chinese Journal of Medical Instrumentation
2014;(3):186-189
- CountryChina
- Language:Chinese
-
Abstract:
Anxiety is usual y generated because of the threatened feeling. The data of electrocardio, respiration, blood volume pulse and skin conductance signals were col ected. The arithmetic of Relief were used for the feature selection and combined with k-Nearest Neighbor (kNN) arithmetic and Support Vector Machine (SVM) arithmetic for classification. The results show that the combination of Relief-SVM is better than combination of Relief-kNN on the recognition of anxiety state. The emotion recognition based on multi-physiological signals is superior to that based on one single signal.
