Applications of Simulated Annealing Genetic Algorithm to Emotion Recognition from Physiological Signals

摘要：

Emotion recognition is one of the most important issues in advanced human-computer interaction today. This paper proposes The Simulated Annealing Genetic Algorithm to recognizing four emotional states from four physiological signals. The experiment shows that based on physiological signals, SAGA is feasible and effective.

关键词： Emotion Recognition Simulated Annealing Genetic Algorithm Physiological Signals

作者: Lianzhe Zhou Huanli Pang Hanmei Liu Wei Xiao

作者单位: school of Computer Science and Engineering Changchun university of technology Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 358-360

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）