Activities of Daily Living Classification Using Depth Features

被引：0
|
作者：
Da Luz, Laurence [1 ]
Masek, Martin [1 ]
Lam, Chiou Peng [1 ]
机构：
[1] Edith Cowan Univ, Sch Comp & Secur Sci, Perth, WA, Australia
来源：
2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON) | 2013年
关键词：
smart homes; patient monitoring; assisted living;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The increasing elderly population presents a challenge on the resources of carers and assisted living communities. In this paper, we present an algorithm based around the Microsoft Kinect for monitoring activities of daily living. The system analyses the behaviour of occupants to provide carers with valuable observational data, and has the capacity to detect abnormal events in the home.
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页数：4
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