Decoupling Affective Intelligence from Sensing Platforms: A Generalizable Framework for Real-Time Emotion Recognition across Multiple Modalities
Keywords:
Affective Computing, Modality Agnostic Learning, Emotion Recognition, Physiological Computing, Sensor-Independent Framework, Feature Representation, Stress DetectionAbstract
The probability of real-time emotionalstate recognition on affective computing systemshave shown great potential, however most of thecurrent methods still exhibit a very high reliance onparticular sensing environments like VR systems aswell as fixed physiological sensor arrangements.This study suggests an affect inference framework that is modality-agnostic with the machine learning
References
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