• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 595 Citations
  • 12 h-Index
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Personal profile


Richard Davies joined the School of Computing and Mathematics in 2001 as a Research Assistant and continued to work in this capacity until 2013 when he was appointed Lecturer in Computer Science. His research interests are aligned to the Smart Environment Research Group (SERG) and primarily focus on technologies to support independent living, assistive technologies and personalised self-management systems. In particular Richard has experience in designing and developing systems using various assistive technologies to support long term chronic conditions such as stroke, chronic pain, congestive heart failure, coronary obstructive pulmonary disease and dementia.Richard is working towards his fellowship of the HEA and has conducted a number of pedagogic over the last two years. During his time as a Research Associate Richard worked extensively on both National and European projects to develop technologies to support independent living in the context of an ageing society. Prior to this, Richard obtained a Beng(Hons) in Electronic Systems from Ulster University.Richard is currently pursuing a PhD within the School of Computing and Mathematics which aims to improve post stroke rehabilitation through the introduction of assistive/wearable technology. His main research focus is in stroke rehabilitation and he continues to publish in this area.Richard has been a member of the IET for over 15 years and has served on various panels and committees such as Engineers Ireland Accreditation panel,  ICOST2012, CinC 2010, ICOST 2006 and PHealth 2004. In addition, he has co-chaired a workshop on Assistive Technology at the IEEE BIBM conference.

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  • 26 Similar Profiles
Self Care Medicine & Life Sciences
Patient rehabilitation Engineering & Materials Science
Technology Medicine & Life Sciences
Rehabilitation Medicine & Life Sciences
Prosthetics Engineering & Materials Science
Dementia Medicine & Life Sciences
Stroke Medicine & Life Sciences
Chronic Pain Medicine & Life Sciences

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Research Output 2004 2018

Investigating the usability of off-the-shelf sensors and using patient data to diagnose frailty

Munoz Esquivel, K., Kelly, D., Condell, J., Todd, S., Davies, RJ., Heaney, D., Barton, J., Tedesco, S., Nordström, A., Åkerlund Larsson, M., Nilsson, D., Alamäki, A. & Nevala, E., Sep 2018, p. 22-23. 2 p.

Research output: Contribution to conferencePoster

Open Access
Patient rehabilitation

Remote Rehabilitation: A solution to Overloaded & Scarce Health Care Systems

Munoz Esquivel, K., Nevala, E., Alamäki, A., Condell, J., Kelly, D., Davies, RJ., Heaney, D., Nordström, A., Åkerlund Larsson, M., Nilsson, D., Barton, J. & Tedesco, S., 27 Aug 2018, 1, 1, p. 1-19 19 p.

Research output: Contribution to journalReview article

Open Access
Health care
Patient rehabilitation
Smart sensors

SENDoc – to implement wearable sensors in rehabilitation practice for the elderly

Nevala, E., Alamäki, A., Jalovaara, J., Munoz Esquivel, K., Condell, J., Heaney, D., Barton, J., Tedesco, S., Kelly, D., Davies, RJ., Nordström, A. & Åkerlund Larsson, M., 19 Oct 2018, In : Age Now! - Online Journal of Ageing. 2, 2019

Research output: Contribution to journalArticle

Open Access
Delivery of Health Care
5 Citations (Scopus)

Sensor optimization in smart insoles for post-stroke gait asymmetries using total variation and L1 distances

Munoz-Organero, M., Parker, J., Powell, L., Davies, R. & Mawson, S., 23 Mar 2017, In : IEEE Sensors Journal. p. 1-10

Research output: Contribution to journalArticle

Open Access
Open Access
Self Care