Multimodal Emotion Recognition Using Different Fusion Techniques

• Published in: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII) pp. 1 - 6
• Main Authors: Subramanian, Gokul, Cholendiran, Niranjan, Prathyusha, Kotapati, Balasubramanain, Noviya, Aravinth, J
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.03.2021
• Subjects: Autoencoder; Convolutional neural network (CNN); Deep learning; Electroencephalogram (EEG); Emotion recognition; Face recognition; Feature fusion; Instruments; Multimodal; Neural networks; Speech recognition; Support vector machines; Time series analysis

Human beings have the ability to understand and visualize various emotions on a daily basis. This could be done by noticing various features such as facial muscle movements, speech, hand gestures, etc. The automated emotion recognition is an important issue and has also been a lively research topic...