CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Trialling a Personal Falls Monitoring System using Smart Phone
Authors
J Basilakis
G Huq
Anthony Maeder
H Pirnejad
Publication date
27 January 2015
Publisher
Australian Computer Society
Abstract
Copyright © 2015, Australian Computer Society, Inc. This paper appeared at the 8th Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2015), Sydney, Australia, January 2015. Conferences in Research and Practice in Information Technology (CRPIT), Vol. 164, Anthony Maeder and Jim Warren, Ed. Reproduction for academic, not-for-profit purposes permitted provided this text is included.This paper describes a personal falls monitoring project using smart phone based tri-axial accelerometry, for surveillance of elderly people with falls risk living independently at home. The project relied on collaboration of three parties to achieve its clinical, research and technology aims. The results of data collection during the six month trial period are presented and analysed here. These results indicate a very high rate of false positives (94.7%) which would need to be addressed in future development of the system
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Flinders Academic Commons
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:dspace.flinders.edu.au:232...
Last time updated on 30/04/2017