Accelerometer-based on-body sensor localization for health and medical monitoring applications

被引:66
作者
Amini, Navid [1 ]
Sarrafzadeh, Majid
Vandatpour, Alireza
Xu, Wenyao
机构
[1] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90024 USA
关键词
On-body device localization; Unsupervised activity discovery; Motion analysis; Ultraviolet monitoring; Transmission power control; GAIT;
D O I
10.1016/j.pmcj.2011.09.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a technique to recognize the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous devices. Our technique uses accelerometers to capture motion data to estimate the location of the device on the user's body, using mixed supervised and unsupervised time series analysis methods. We have evaluated our technique with extensive experiments on 25 subjects. On average, our technique achieves 89% accuracy in estimating the location of devices on the body. In order to study the feasibility of classification of left limbs from right limbs (e.g., left arm vs. right arm), we performed an analysis, based on which no meaningful classification was observed. Personalized ultraviolet monitoring and wireless transmission power control comprise two immediate applications of our on-body device localization approach. Such applications, along with their corresponding feasibility studies, are discussed. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:746 / 760
页数:15
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