Have spent over 9 years working in industry and academia working to understand how useful movement information can be obtained from wearable sensor technology. Have developed in depth knowledge of the advantages and disadvantages of different wearable tools and ways that the raw data can be processed to provide useful information. Have worked with Olympic and professional athlete's as well as rehabilitation patients and the elderly. My expertise crosses the boundary between human movement scientist and engineer and allows me to understand the technical details of raw sensor data as well as the clinical or sporting relevance of a certain movement. This knowledge has lead to innovative techniques in which wearable sensor data can be used to provide useful information.
Line of research I'm working on is to assess how wearable sensor technology can be deployed into the home and community setting to allow elderly persons to live at home for longer periods of time. Initial studies are looking at methods to better assess falls risk using ubiquitous, wearable sensing solutions. Such work will ideally lead to health care solutions that allow many more patients to have their falls risk remotely monitored and subsequently put on rehabilitation programs to prevent a fall. This is part of a wider, collaborative research project called KIDUKU, which is a partnership between Fujitsu Labs, Dublin City University and CASALA (Centre for Affective Solutions for Ambient Assisted Living).
Specialties: Biomechanics, signal processing, writing, project management, feature extraction, human movement, gait analysis, jumping, explosive movement, fatigue analysis, running