Citation

Chua, Jia Luen (2013) Visual-based fall detection techniques using geometrical approach. Masters thesis, Multimedia University.

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Abstract

Falls are one of the major health hazards among the aging population aged 65 and above, which could potentially result in a significant hindrance to their independent living. With the advances of medical science in the last few decades, the aging population increases every year and henceforth in home fall detection system is increasingly important. Fall detection systems that have been commercialized so far are mostly worn-sensor based which are basically electronic devices whereby the elderly need to wear them. Nevertheless, these wearable fall detectors have a few drawbacks. The recent advancements in computer vision technology have brought together a new solution to overcome these drawbacks.

Item Type:	Thesis (Masters)
Additional Information:	Call No.: TK5105.59 C48 2013
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	29 Sep 2014 08:40
Last Modified:	29 Sep 2014 08:40
URII:	http://shdl.mmu.edu.my/id/eprint/5756

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