Journal article
Predictive Walking-Age Health Analyzer
Abstract
A simple, low-power and wearable health analyzer for early identification and management of some diseases is presented. To achieve this goal, we propose a walking pattern analysis system that uses features, such as speed, energy, turn ratio, and bipedal behavior to characterize and classify individuals in distinct walking-ages. A database is constructed from 74 healthy young adults in the age range from 18 to 60 years using the combination of …
Authors
Mandal P; Tank K; Mondal T; Chen C-H; Deen MJ
Journal
IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 2, pp. 363–374
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
3 2018
DOI
10.1109/jbhi.2017.2666603
ISSN
2168-2194