Visual-based fall detection techniques using geometrical approach

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 h...

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主要作者: Chua, Jia Luen
格式: Thesis
出版: 2013
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總結: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.