Skystrm: An Activity Monitoring System to Support Elderly Independence Through Smart Care Homes

Ikram Asghar, Rahmat Ullah, M. G. Griffiths, Gareth Evans, Justus Vermaak
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Abstract

Ageing contributes to a lack of independence on the part of the elderly, whether in their own homes or care settings. The world is looking into alternative ways to increase the independence of the elderly. However, there are many risks associated with the independent living of the elderly. This paper presents an activity monitoring system which uses computer vision techniques to monitor the activities of vulnerable older people. The algorithms used in the system can detect their movements and track their activities which can build their activity profile. Once a deviation from their daily pattern is detected, the system can alert caregivers and family members. The proposed system has the potential to be a building block for remote elderly care services, in which they can live independently yet will have the attention of caregivers, if needed. Further trials are underway in the United Kingdom and South Africa, which will help to generalise the results of this research.
Skystrm:通过智能护理院支持老年人独立的活动监测系统
老龄化导致老年人缺乏独立性,无论是在自己的家中还是在护理机构。全世界都在寻找其他方法来提高老年人的独立性。然而,老年人独立生活也有很多风险。本文提出了一种利用计算机视觉技术监测老年人活动的活动监测系统。系统中使用的算法可以检测他们的运动并跟踪他们的活动,从而建立他们的活动档案。一旦检测到他们偏离日常模式,系统就会提醒护理人员和家庭成员。拟议中的系统有可能成为远程老年人护理服务的基石,在这种服务中,老年人可以独立生活,但如果需要的话,还会得到护理人员的关注。英国和南非正在进行进一步的试验,这将有助于推广这项研究的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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