AN EMOTION RECOGNITION METHOD WITH LOW SPEC ECG AND EEG DEVICES

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2022-5-09

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Köse, Emre Kutlu

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In recent years, developments on sensory technologies make electroencephalography and electrocardiography devices portable and more accessible. This provides new opportunities in emotion recognition area for researches and the industry. Interest of industry grows on the subject. Moreover, popularity of emotion recognition research is increased. To increase further possibilities of emotion recognition systems, this study provides an emotion recognition method that uses portable electroencephalography (EEG) and electrocardiography (ECG) devices. This study proposes an EEG feature called zero-crossing variance that detects small frequency chances on data and tests effectiveness of three different classifiers with it. Different from similar works, the study solves three class classification problem for valence and arousal and achieves accuracy of 92% for valence and 95% for arousal.

Subject Keywords

EEG, ECG, HRV, Emotion, Classification

URI

https://hdl.handle.net/11511/97334

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Graduate School of Informatics, Thesis

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Citation Formats

E. K. Köse, “AN EMOTION RECOGNITION METHOD WITH LOW SPEC ECG AND EEG DEVICES,” M.S. - Master of Science, Middle East Technical University, 2022.