Toward Automatic Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of Emotions

Advances in Electrical and Computer Engineering

SCHIPOR, O.-A. ; PENTIUC, S.-G. ; SCHIPOR, M.-D..

关键词: assisted speech therapy;    emotion recognition;    fuzzy model;    physiological parameters;   

DOI  :  10.4316/AECE.2012.02008

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

Affective computing - the ability of a system to recognize, understand and simulate human emotional intelligence - is one of the most dynamic fields of HCI - Human Computer Interaction. These characteristics find their applicability in those areas where it is necessary to extend traditional cognitive communication with emotional features. That is why, Computer Based Speech Therapy Systems (CBST), and especially those involving children with speech disorders, require this qualitative shift. So in this paper we propose an original emotional framework recognition as an extension for our previous developed system - Logomon. A fuzzy model is used in order to interpret the values of specific physiological parameters and to obtain the emotional state of the subject. Moreover, an experiment that indicates the emotion pattern (average fuzzy sets) for each therapeutic sequence is also presented. The obtained results encourage us to continue working on automatic emotion recognition and provide important clues regarding the future development of our CBST.

【 授权许可】

Unknown