计算机工程与应用2011，Vol.47Issue(2)：169-172,4.DOI:10.3778/j.issn.1002-8331.2011.02.051
蚁群算法在呼吸信号情感识别中的应用研究
Application of ACO algorithm to emotion recognition research based on RSP signal.
摘要
Abstract
This study is on the emotion recognition method based on respiration(RSP) signals.Firstly,six emotional(Happiness , Surprise , Disgust , Grief, Anger, Fear) RSP signals of 212 subjects are de-noised and original features are extracted with wavelet transform method. Then,feature selection is done using the ant colony optimization(referred to as ACO) algorithm. Results show that after ACO algorithm is optimized, emotion recognition of physiological signal has achieved good results. Happiness emotion has a best recognition rate of 92.06％,the corresponding average recognition rate achieves 84.43％.关键词
情感识别/蚁群算法/呼吸信号/特征选择Key words
emotion recognition/Ant Colony Optimization(ACO)/ RSP signal/ feature selection分类
信息技术与安全科学引用本文复制引用
林时来,刘光远,张慧玲..蚁群算法在呼吸信号情感识别中的应用研究[J].计算机工程与应用,2011,47(2):169-172,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60873143) （the National Natural Science Foundation of China under Grant No.60873143）
西南大学国家重点学科基础心理学科研基金(No.NKFS07003). （No.NKFS07003）
