Emotion recognition with multi-modal peripheral physiological signals
Jennifer Gohumpu,
Mengru Xue,
Yanchi Bao
Abstract:IntroductionHealthcare wearables allow researchers to develop various system approaches that recognize and understand the human emotional experience. Previous research has indicated that machine learning classifiers, such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Decision Tree (DT), can improve the accuracy of physiological signal analysis and emotion recognition. However, various emotions can have distinct effects on physiological signal alterations. Therefore, solely relying on a single… Show more
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