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Emotion Recognition of Serious Game Players Using a Simple Brain Computer Interface
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- Authors
- Hyunjin Yoon, Sang-Wook Park, Yong-Kwi Lee, Jong-Hyun Jang
- Issue Date
- 2013-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.783-786
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Understanding player's cognitive state and emotional response is necessary to make serious games more challenging and enhance the quality of human-machine interaction and gaming experience. Previous emotion recognition using brain computer interfaces (BCIs) is either relying a large number of wet electrodes or combining both brain signals with other peripheral physiological signals. In this paper, we investigate whether a simple BCI with only a few electrodes can identify basic or complex emotions in more natural settings like playing a game. We performed an experiment with 42 participants, who played a brain-controlled video game wearing a single electrode BCI headset and provided a self-assessed valence/arousal feedback at the end of each trial. By analyzing the data obtained from the self-evaluated questionnaires and the attention and meditation recordings from the BCI device, we introduce an automatic emotion recognition method that classifies four emotional states with the average recognition accuracy 66.04%. © 2013 IEEE.
- KSP Keywords
- Brain signal, Cognitive state, Complex Emotions, Emotional Responses, Emotional states, Human-machine interaction, Peripheral physiological signals, Recognition method, Serious games, Single electrode, automatic emotion recognition