Personal profile
Education/Academic qualification
Computer Science, DPhil, Understanding fall risk in real-world settings: A Deep Learning Approach to Video Based Environmental Classification to enhance IMU gait assessment, Northumbria University
1 Oct 2021 → 20 Jun 2024
Award Date: 20 Jun 2024
Computer Science, MSc, Northumbria University
1 Oct 2020 → 9 Jan 2021
Award Date: 1 Sept 2021
Computer Science, BSc (Hons)
1 Oct 2017 → 25 Jul 2020
Award Date: 25 Jun 2020
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
A proposed computer vision model for running gait assessment
Young, F., Mason, R., Moore, J., Stuart, S., Morris, R. & Godfrey, A., 11 Jul 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Piscataway: IEEE, p. 4773-4776 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile4 Citations (Scopus)22 Downloads (Pure) -
Instrumenting traditional approaches to physical assessment
Powell, D., Celik, Y., Trojaniello , D., Young, F., Moore, J., Stuart, S. & Godfrey, A., 6 Jul 2021, Digital Health: Exploring the Use and Integration of Wearables. Godfrey, A. & Stuart, S. (eds.). 1st ed. Elsevier, p. 27-42 16 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
2 Citations (Scopus) -
Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables: Insights from the Use of Wearables
Celik, Y., Wall, C., Moore, J. & Godfrey, A., 19 Mar 2025, In: Pragmatic and Observational Research. 16, p. 67-93 27 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile60 Downloads (Pure) -
Contextualising free-living gait with computer vision
Moore, J. & Godfrey, A., 1 Mar 2025, In: Maturitas. 194, p. 1-2 2 p., 108065.Research output: Contribution to journal › Editorial › peer-review
Open AccessFile2 Downloads (Pure) -
Optimising and beta-testing a user-centred, accessible, self-management rehabilitation smartphone app (reCOVer) for long-COVID fatigue using qualitative interview methods
McCready, J. L., Campbell, M., McCay, K., Moore, J., Deary, V., Vines, J., Higgs-McCallum, C., Webster, D., Ellis, J., Newton, J., Nobbs, C., Rapley, T. & Hackett, K., 27 Oct 2025, (E-pub ahead of print) In: Disability and Rehabilitation. p. 1-19 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure)