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Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
The parallel trend of deep-learning has led to a huge leap in performance towards solving various vision-based research problems such as object detection.
Multi-modal Approach for Affective Computing
Using multi-modal AMIGOS dataset, this study compares the performance of human emotion classification using multiple computational approaches applied to face videos and various bio-sensing modalities.
Human-Computer Interaction
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