Emotion Recognition using Multimodal Approach


Chiang, Mee Li and Lau, Siong Hoe and Tan, Shing Chiang (2022) Emotion Recognition using Multimodal Approach. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Affective computing, also known as emotion AI, facilitates computers to detect human emotions in decision making, learning, memory, and virtually all cognitive processes. The most important thing in communication is hearing what isn’t said” (Drucker & Maciariello, 2009 ). This quote draws attention to the importance of nonverbal communication. Many studies dealt with facial emotion recognition, speech emotion recognition or multimodal emotion recognition.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Neural networks (Computer science)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Dec 2022 04:40
Last Modified: 19 Dec 2022 04:40
URII: http://shdl.mmu.edu.my/id/eprint/10910


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