We think it's important to share our findings
Our research is published in peer-reviewed journals, books, and conference proceedings
Publications
Continuous Real-world Gait Monitoring in Community-based Older Adults
Authors
Walsh, L., Doyle, J., Smith, E., Inomata, A. and Bond, R.
Published in
EMBC
Type
Conference
Year
2015
This paper describes the collection of real-world gait in a cohort of 7 community living older adults, who have fallen at least once in the previous year, while they live in a smart apartment for four days. It describes the approach used to collect various gait metrics, from inertial sensors placed on the lower shanks, where gait bouts can be contextualised by smart home data. Results from this study are presented with a brief discussion into the smart home based contextualisation of outliers in the gait data. Future work will investigate the normative ranges of various gait metrics, and how such real-world gait data may be integrated into clinical practice.
Community men’s sheds and informal learning
Authors
Golding, B. & Carragher, L.
Published in
Private worlds(s) Gender and informal learning of adults
Type
Book Chapter
Year
2015
This chapter explores some of the gendered aspects of learning that have been recognised through the creation of the community men’s sheds movement during the past decade in four countries. It includes a new critical exploration of women’s historic and current role in the community men’s shed movement across four nations to 2014.
Men’s sheds in Ireland, learning through community contexts
Authors
Carragher, L
Published in
Irish Men’s Sheds Association
Type
Report
Year
2013
This research provides evidence on who is participating in Men’s Sheds in Ireland, and with what outcomes, and reports a clear improvement in health and wellbeing for the men who take part in Men’s Sheds in Ireland, relating primarily to increased social networks through taking part in a Men’s Shed. The report also indicates that “IMSA plays a significant role in supporting the development of Sheds in Ireland”.
Overview of CASALA.
Authors
Doyle, J.
Published in
Provided to visitors from Konica Minolta, IDA offices Dundalk.
Type
Presentation
Year
2014
Empowering Healthy Ageing with Good Design
Authors
Doyle, J.
Published in
TED-X Fulbright Dublin
Type
Presentation
Year
2014
Wellness Self-Management in Older Populations
Authors
Doyle, J.
Published in
eTENordiCHI Workshop on Designing Selfcare for Everyday LifeLEMED
Type
Conference
Year
2014
This position paper describes ongoing work in the design and evaluation of a self-care application for older adults to support general wellness. We report on findings from a 5- month field study with 7 participants, which provided rich insights and a greater understanding into older adults’ attitudes and behaviours in relation to wellbeing selfmanagement. We highlight case studies of two participants - one of whom embraced the application and continued to use it beyond the trial period, and one who dropped out of the trial early, indicating some reasons behind both.14.
Real-world gyroscope-based gait event detection and gait feature extraction
Authors
Fraccaro, P., Walsh, L., Doyle, J. and O’Sullivan, D.
Published in
eTELEMED
Type
Conference
Year
2014
Falls in older adults are a major clinical problem often resulting in serious injury. The costly nature of clinic-based testing for the propensity of falling and a move towards homebased care and monitoring of older adults has led to research in wearable sensing technologies for identifying fall-related parameters from activities of daily living. This paper discusses the development of two algorithms for identifying periods of walking (gait events) and extracting characteristic patterns for each gait event (gait features) with a view to identifying the propensity to fall in older adults. In this paper, we present an evaluation of the algorithms involving a small real-world dataset collected from healthy adults in an uncontrolled environment. 92.5% of gait events were extracted from lower leg gyroscope data from 5 healthy adults (total duration of 33 hours) and over 95% of the gait characteristic points were identified in this data. A user interface to aid clinicians review gait features from walking events captured over multiple days is also proposed. The work presents initial steps in the development of a platform for monitoring patients within their daily routine in uncontrolled environments to inform clinical decision-making related to falls..