Preliminary study on activity monitoring using an android smart-watch.
Preliminary study on activity monitoring using an android smart-watch.
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DOI：
10.1049/htl.2014.0091
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发表时间：
2015-02
影响因子：
2.1
通讯作者：
James CJ
中科院分区：
文献类型：
--
作者：
Ahanathapillai V;Amor JD;Goodwin Z;James CJ
预期寿命增加的全球趋势正在导致一些国家的人口老龄化。在现有资源日益受到限制的情况下，为老年人口提供有效护理带来了压力。为老年人提供照顾和维持他们在自己家中的独立性是解决这一问题的一种方法。欧盟资助的独立生活智能环境（USEFIL）项目是一种辅助技术工具，旨在提高独立生活水平。作为USEFIL的一部分，一种手腕可穿戴设备（WWU）正在开发中，用于监测用户的身体活动（PA），并与USEFIL系统集成。WWU是现有技术在辅助生活问题领域的新应用。它结合现有技术和新算法提取PA参数用于活动监测。提取的参数包括：活动水平、步数和磨损状态。介绍了该方法的实现方法，并对算法进行了初步验证。结果表明，使用控制数据集，可以成功提取活动水平，正确识别磨损状态，并且可以在3%的误差范围内估计步行数据中的步数。
The global trend for increasing life expectancy is resulting in aging populations in a number of countries. This brings to bear a pressure to provide effective care for the older population with increasing constraints on available resources. Providing care for and maintaining the independence of an older person in their own home is one way that this problem can be addressed. The EU Funded Unobtrusive Smart Environments for Independent Living (USEFIL) project is an assistive technology tool being developed to enhance independent living. As part of USEFIL, a wrist wearable unit (WWU) is being developed to monitor the physical activity (PA) of the user and integrate with the USEFIL system. The WWU is a novel application of an existing technology to the assisted living problem domain. It combines existing technologies and new algorithms to extract PA parameters for activity monitoring. The parameters that are extracted include: activity level, step count and worn state. The WWU, the algorithms that have been developed and a preliminary validation are presented. The results show that activity level can be successfully extracted, that worn state can be correctly identified and that step counts in walking data can be estimated within 3% error, using the controlled dataset.