• Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 118 Citations
  • 5 h-Index
20092020
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Personal profile

Biography

Dr. Daniel Kelly is a Lecturer in the School of Computing and Intelligent Systems in the Department of Computing and Engineering at the Ulster University (Magee).Daniels' main research interests are in the areas of Wearable/Pervasive Sensing, Human Behavior Analysis and Sports Performance Measurement.In particular, his research is focused on applications in health and well-being and has approx. 40 published works. Daniel has worked on a number of commercial feasibility studies, and in the past has worked closely with a number of SME's and national organisations such as Irish Rugby Football Union and the Irish National Stud. Daniel is a visiting lecturer at the School of Public Health, Physiotherapy and Sports Science in University College Dublin.He is a regular reviewer for a number of International Journals such as Pattern Recognition Letters and IEEE System, Man and Cybernetics.

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Health Status Medicine & Life Sciences
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Research Output 2009 2020

A Multimodal Smartphone Sensor System for Behaviour Measurement and Health Status Inference

Kelly, D., Condell, J., Curran, K. & Caulfield, B. M., 3 Jun 2019, In : Information Fusion. 53, p. 43-54 12 p.

Research output: Contribution to journalArticle

Smartphones
Health
Sensors
Acoustic waves
Support vector machines
Activity Recognition
Smartphones
Labels
Complications
Feature Vector

Wearable Technology Supported Home Rehabilitation Services in Rural Areas: – Emphasis on Monitoring Structures and Activities of Functional Capacity Handbook

Alamäki, A., Nevala, E., Barton, J., Condell, J., Munoz Esquivel, K., Nordström, A., Tedesco, S., Kelly, D. & Heaney, D., Oct 2019, Joensuu, Finland. 56 p. (Handbooks and Article collections)

Research output: Book/ReportBook

Open Access
File
Rehabilitation
Technology
Delivery of Health Care
Health
Health Personnel
2 Citations (Scopus)
Sampling
Labels
Classifiers

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
File
Patient rehabilitation
Sensors
Health
Smartphones
Magnetometers