Gani, Md Osman
Fayezeen, Taskina
Povinelli, Richard J.
Smith, Roger O.
Arif, Muhammad
Kattan, Ahmed J.
Ahamed, Sheikh Iqbal
Funding for this research was provided by:
National Institute on Disability and Rehabilitation Research (H133G100211)
National Plan for Science, Technology and Innovation (12-INF2290-10)
This article is maintained by: Elsevier
Article Title: A light weight smartphone based human activity recognition system with high accuracy
Journal Title: Journal of Network and Computer Applications
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jnca.2019.05.001
Content Type: article
Copyright: © 2019 Elsevier Ltd. All rights reserved.