Research Output per year
Personal profile
Biography
Dr McCullagh received a BSc (1979) and a PhD (1983) in Electrical Engineering from Queen’s University of Belfast. He is a Reader in the School of Computing & Mathematics at the University of Ulster and is a Member of the Computer Science Research Institute. He specializes in the teaching of data communications, computer networking and health informatics. His research interests include Biomedical Signal and Image Processing, Data Mining, Brain Computer Interfaces, and Assisted Living applications. He is interested in the ethical deployment of technology in smart environments. Grants include EU FP7 BRAIN project for e-inclusion using the brain-computer interface, EU FP7 Michelangelo for assessing autistic children in a smart environment, EPSRC SMART 2 for self-management of chronic disease, TSB NOCTURNAL for assisting people with dementia, and ESRC New Dynamics of Ageing, Design for Ageing Well funded projects. He is currently a CI in the following Marie Curie networks: ACROSSING, a multidisciplinary, cross-sector, pan-European training network aimed at Smart Homes Early Stage Researchers, and REMIND, a RISE network that promotes computational techniques to improve compliance to reminders within smart environments. He is a member of the British Computer Society.
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Research Output
Feature learning for Human Activity Recognition using Convolutional Neural Networks: A case study for Inertial Measurement Unit and Audio data
Cruciani, F., Vafeiadis, A., Nugent, CD., Cleland, I., McCullagh, P., Votis, K., Giakoumis, D., Tzovaras, D., Chen, L. L. & Hamzaoui, R., 31 Mar 2020, In : CCF Transactions on Pervasive Computing and Interaction. 2, p. 18-32 15 p.Research output: Contribution to journal › Article
Open Access
File
Performance of a Steady State Visual Evoked Potential and Eye Gaze Hybrid Brain-computer interface on Participants with and without a Brain Injury
Brennan, C., McCullagh, P., Lightbody, G., Galway, L., McClean, S. I., Stawicki, P., Gembler, F., Volosyak, I., Armstrong, E. & Thompson, E., 24 Apr 2020, In : IEEE Transactions on Human-Machine Systems. 10 p.Research output: Contribution to journal › Article
Open Access
File
Speed of rapid serial visual presentation of pictures, numbers and words affects event-related potential-based detection accuracy
Lees, S., McCullagh, P., Payne, P., Coyle, D., Lotte, F. & Maguire, L., 10 Jan 2020, In : IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28, 1, p. 113-122 10 p., 8903477.Research output: Contribution to journal › Article
Open Access
File
A Public Domain Dataset for Human Activity Recognition in Free-living Conditions
Cruciani, F., Sun, C., Zhang, S., Nugent, CD., Li, C., Song, S., Cheng, C., Cleland, I. & McCullagh, P., 21 May 2019, (Accepted/In press) The 2nd Workshop on advanced Technologies for Smarter Assisted Living solutions: Towards an open Smart Home infrastructure (SmarterAAL'19). IEEE, p. 166-171 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Comparing CNN and Human Crafted Features for Human Activity Recognition
Cruciani, F., Vafeiadis, A., Nugent, CD., Cleland, I., McCullagh, P., Votis, K., Giakoumis, D., Tzovaras, D., Chen, L. & Hamzaoui, R., 21 May 2019, (Accepted/In press) The 16th IEEE International Conference on Ubiquitous Intelligence and Computing. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution