WearWare: A Data Analysis Toolkit for Wearable Devices

Caitlin Barrett1, Kyle Winfree1

  • 1Northern Arizona University

Details

19:30 - 20:30 | Tue 6 Mar | Caribbean ABC | TuPO.15

Session: Poster Session # 2 and BSN Innovative Health Technology Demonstrations

Abstract

With an ever-increasing number of wearable devices in use and an ever-improving temporal resolution of the health measures many of these devices sample, wearable devices are quickly becoming positioned to answer questions not previously possible to even ask. The quantity and quality of these data is expected to yield insights into aspects of daily life that were previously unobservable. This project seeks to develop the methods of analyzing such large quantities of data, with an open source Octave/Matlab library and an associated data collection web server. This toolbox will allow researchers to more easily use data from wearable devices to analyze the correlation between an individual's physical fitness and health.