Comparative Analysis Between K-Nearest Neighbor (KNN) and Deep Learning Classifiers for Emotion Classification in Virtual Reality Using Electrodermography (EDG) and Heart Rate
摘要
Virtual Reality as a stimulus to evoke emotion in emotion recognition studies has been emerging in recent years, the objective of this research is to do a comparative analysis between classifiers such as Deep learning and KNN with Heart Rate and electrodermography signals. The difference in classifiers applied plays an important part when it comes to generating the result in accuracy. In this research, 30 participants volunteered in the experiment of using VR as stimuli while their HR and EDG signals were recorded. The recorded signals are then classified using KNN and Deep Learning classifier.