A vision-based fall detection of human in indoor environment

来源 :2016年第二届光子学与光学工程国际会议暨第八届西部光子学会议 | 被引量 : 0次 | 上传用户:C263185
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  Elderly care becomes more and more prominent in China as the population is aging fast and the number of aging population is large.Falls have a serious impact on physical health as well as mental health of the aged as one of the biggest challenges in elderly guardianship system.Basing on aspect ratio of human silhouette,velocity of mass center,variation in height and angle of the ultimate posture,a novel vision-based fall detection method was presented in this paper.
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