Emotions States Recognition Based on Physiological Parameters by Employing of Fuzzy-Adaptive Resonance Theory

• 作者: Fereidoon Shabaninia Mahdis Monajati Seyed Hamidreza Abbasi Sina Shamekhi
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 医学
• 关键词: PHYSIOLOGICAL Signal Galvanic Skin Response Heart RATE RESPIRATION RATE Fuzzy-ART EMOTION RECOGNITION
• 年，卷（期）: 2012,（4）
• 页码范围: 166-175
• 页数: 10页
• 分类号: R73

摘要

This paper is an investigation on negative emotions states recognition by employing of Fuzzy Adaptive Resonance Theory (Fuzzy-ART) considering the changes in activities of autonomic nervous system (ANS). Specific psychological experiments were designed to induce appropriate physiological responses on individuals in order to acquire a suitable database for training, validating and testing the proposed procedure. In this research, the three physiological applied signals are Galvanic Skin Response (GSR), Heart Rate (HR) and Respiration Rate (RR). The first experiment which is named Shock was designed to determine a criterion for the change of physiological signals of each individual. In the second one, a combination of two sets of questions has been asked from the subjects to induce their emotions. Finally, Physiological responses were analyzed by Fuzzy-ART to recognize which question excites the negative emotions. Detecting negative emotions from neutral is obtained with total accuracy of 94%.