Citation

Ewe, Edmond Li Ren and Lee, Chin Poo and Kwek, Lee Chung (2023) Hand Gesture Recognition Via Deep Learning. In: 1st FET PG Engineering Colloquium Proceedings 2023, 16 June - 15 July 2023, Multimedia University, Malaysia. (Submitted)

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Abstract

This research explores gesture recognition, a process of interpreting meaningful physical movements for environmental interaction. Focusing on vision-based methods, the study emphasizes the critical role of feature extraction. Unlike traditional hand-crafted approaches that require dataset-specific feature extraction algorithms, deep learning approaches combine feature extraction and classification into a unified algorithm, offering a more versatile and efficient solution. The developed algorithm has recorded an accuracy above 99%.

Item Type:	Conference or Workshop Item (Poster)
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	15 Aug 2023 01:22
Last Modified:	15 Aug 2023 01:22
URII:	http://shdl.mmu.edu.my/id/eprint/11609

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