A Negative Emotion Recognition System with Internet of Things-Based Multimodal Biosignal Data
Seung-Mi Ham,
Hye-Min Lee,
Jae-Hyun Lim
et al.
Abstract:Previous studies to recognize negative emotions for mental healthcare have used heavy equipment directly attaching electroencephalogram (EEG) electrodes to the head, and they have proposed binary classification methods to identify negative emotions. To tackle this problem, we propose a negative emotion recognition system to collect multimodal biosignal data such as five EEG signals from an EEG headset and heart rate, galvanic skin response, and skin temperature from a smart band for classifying multiple negati… Show more
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