Citation

Khan, Mohamad Tawsif and Ab Aziz, Nor Azlina and Raja, Emerson (2023) Deep Transfer Learning For Emotion Recognation And Emotion- Aware Automation in Smart Homes. In: 2nd FET PG Engineering Colloquium Proceedings 2023, 1-31 December 2023, Multimedia University, Malaysia. (Submitted)

Other (Poster) 3. PPM Poster - Tawsif - Norhidayah Binti Mohamad.pdf - Submitted Version Restricted to Repository staff only Download (357kB)

Abstract

Emotions, viewed as transient internal states with distinct onset and conclusion, exert a profound influence on motivation, cognition, and behavior. Acknowledging this, our research aims to develop a sophisticated model capable of accurately discerning human emotions. The proposed model, leveraging advanced deep learning techniques, seeks to bridge the gap between subjective, physiological responses to stimuli and automated systems in Smart Homes.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Emotions, Smart Home
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	03 Apr 2024 02:27
Last Modified:	03 Apr 2024 02:27
URII:	http://shdl.mmu.edu.my/id/eprint/12352

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