Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals

En-Jui Chang, Abbas Rahimi, Luca Benini & An-Yeu Wu
To interact naturally and achieve mutual sympathy between humans and machines, emotion recognition is one of the most important function to realize advanced human-computer interaction devices. Due to the high correlation between emotion and involuntary physiological changes, physiological signals are a prime candidate for emotion analysis. However, due to the need of a huge amount of training data for a high-quality machine learning model, computational complexity becomes a major bottleneck. To overcome this issue, brain-inspired...
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