Abstract
Recognizing emotional states is becoming a majorpart of a user's context for wearable computing applications. The system should be able to acquire a user's emotional states by using physiological sensors. We want to develop a personal emotional states recognition system that is practical, reliable, and can be used for health-care related applications. We propose to use the eHealth platform [1] which is a ready-made, light weight, small and easy to use device for recognizing a few emotional states like 'Sad', Dislike', 'Joy', 'Stress', 'Normal', 'No-Idea', 'Positive' and Negative' using decision tree (J48)and IBK classifiers. In this paper, we present an approach tobuild a system that exhibits this property and provides evidence based on data for 8 emotional states collected from 24 different subjects. Our results indicate that the system has an accuracy rate of approximately 97%.In our work, we used three physiological sensors (i.e. 'BloodVolume Pulse', 'Galvanic Skin Response' and 'SkinTemperature') in order to recognize emotional states (i.e.stress, joy/happy, sad, normal/neutral, dislike, no-idea, positive and negative).
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