A DESIGN FRAMEWORK FOR HUMAN EMOTION RECOGNITION USING ELECTROCARDIOGRAM AND SKIN CONDUCTANCE RESPONSE SIGNALS

• Main Authors: KHAIRUN NISA’ MINHAD, SAWAL HAMID MD ALI, MAMUN BIN IBNE REAZ
• Format: Article
• Language: English
• Published: Taylor's University 2017-11-01
• Series: Journal of Engineering Science and Technology
• Subjects: Biomedical signal processing; Emotion recognition; Signal data acquisition protocol; Stimulus methods.
• Online Access: http://jestec.taylors.edu.my/Vol%2012%20issue%2011%20November%202017/12_11_20.pdf

Identification of human emotional state while driving a vehicle can help in understanding the human behaviour. Based on this identification, a response system can be developed in order to mitigate the impact that may be resulted from the behavioural changes. However, the adaptation of emotions to the environment at most scenarios is subjective to an individual’s perspective. Many factors, mainly cultural and geography, gender, age, life style and history, level of education and professional status, can affect the detection of human emotional affective states. This work investigated sympathetic responses toward human emotions defined by using electrocardiography (ECG) and skin conductance response (SCR) signals recorded simultaneously. This work aimed to recognize ECG and SCR patterns of the investigated emotions measured using selected sensor. A pilot study was conducted to evaluate the proposed framework. Initial results demonstrated the importance of suitability of the stimuli used to evoke the emotions and high opportunity for the ECG and SCR signals to be used in the automotive real-time emotion recognition systems.