Citation

Lim, Kian Ming and Tan, Alan W. C. and Tan, Shing Chiang (2017) A four dukkha state-space model for hand tracking. Neurocomputing, 267. pp. 311-319. ISSN 0925-2312

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Abstract

In this paper, we propose a hand tracking method which was inspired by the notion of the four dukkha: birth, aging, sickness and death (BASD) in Buddhism. Based on this philosophy, we formalize the hand tracking problem in the BASD framework, and apply it to hand track hand gestures in isolated sign language videos. The proposed BASD method is a novel nature-inspired computational intelligence method which is able to handle complex real-world tracking problem. The proposed BASD framework operates in a manner similar to a standard state-space model, but maintains multiple hypotheses and integrates hypothesis update and propagation mechanisms that resemble the effect of BASD. The survival of the hypothesis relies upon the strength, aging and sickness of existing hypotheses, and new hypotheses are birthed by the fittest pairs of parent hypotheses. These properties resolve the sample impoverishment problem of the particle filter. The estimated hand trajectories show promising results for the American sign language.

Item Type:	Article
Uncontrolled Keywords:	Hand tracking, Four dukkha, State-space model, Computational intelligence
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	28 Jul 2020 01:30
Last Modified:	28 Jul 2020 01:30
URII:	http://shdl.mmu.edu.my/id/eprint/6981

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