Document Type
Article
Publication Date
11-26-2017
Abstract
Monitoring of activities of daily living (ADL) using wearable sensors can provide an objective indication of the activity levels or restrictions experienced by patients or elderly. The current study presented a two-sensor ADL classification method designed and tested specifically with elderly subjects. Ten healthy elderly were involved in a laboratory testing with 6 types of daily activities. Two inertial measurement units were attached to the thigh and the trunk of each subject. The results indicated an overall rate of misdetection being 2.8%. The findings of the current study can be used as the first step towards a more comprehensive activity monitoring technology specifically designed for the aging population.
Recommended Citation
Jian Liu, Jeehoon Sohn, and Sukwon Kim, “Classification of Daily Activities for the Elderly Using Wearable Sensors,” Journal of Healthcare Engineering, vol. 2017, Article ID 8934816, 7 pages, 2017. https://doi.org/10.1155/2017/8934816.
Comments
The version of record is available from the publisher at https://doi.org/10.1155/2017/8934816.
Copyright © 2017 Jian Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.