@inproceedings{b55b22bb7c0c42b1965673c06c71a199,
title = "IoT system for human activity recognition using bioharness 3 and smartphone",
abstract = "This paper presents an Internet of fiings (IoT) approach to Human Activity Recognition (HAR) using remote monitoring of vital signs in the context of a healthcare system for self-managed chronic heart patients. Our goal is to create a HAR-IoT system using learning algorithms to infer the activity done within 4 categories (lie, sit, walk and run) as well as the time consumed performing these activities and, finally giving feedback during and a?er the activity. Alike in thiswork, we provide a comprehensive insight on the cloudbased system implemented and the conclusions after implementing two different learning algorithms and the results of the overall system for larger implementations.",
keywords = "Bayesian classifier, CS5-Structural function, Human activity recognition (HAR), IoT, W-Health",
author = "Camilo Rodriguez and Castro, {Diego M.} and William Coral and Cabra, {Jose L.} and Nicolas Velasquez and Julian Colorado and Diego Mendez and Trujillo, {Luis C.}",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2017 International Conference on Future Networks and Distributed Systems, ICFNDS 2017 ; Conference date: 19-07-2017 Through 20-07-2017",
year = "2017",
month = jul,
day = "19",
doi = "10.1145/3102304.3105828",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the International Conference on Future Networks and Distributed Systems, ICFNDS 2017",
}
