Enhancing free-living fall risk assessment: contextualizing mobility based IMU data J Moore, S Stuart, P McMeekin, R Walker, Y Celik, M Pointon, A Godfrey Sensors 23 (2), 891, 2023 | 19 | 2023 |
The Eyes as a Window to the Brain and Mind L Graham, J Das, J Moore, A Godfrey, S Stuart Eye Tracking: Background, Methods, and Applications, 1-14, 2022 | 7 | 2022 |
Toward enhanced free-living fall risk assessment: data mining and deep learning for environment and terrain classification J Moore, S Stuart, P McMeekin, R Walker, M Nouredanesh, J Tung, ... Intelligence-Based Medicine 8, 100103, 2023 | 6 | 2023 |
Contextualizing remote fall risk: Video data capture and implementing ethical AI J Moore, P McMeekin, T Parkes, R Walker, R Morris, S Stuart, ... NPJ digital medicine 7 (1), 61, 2024 | 4 | 2024 |
Deep learning semantic segmentation for indoor terrain extraction: Toward better informing free-living wearable gait assessment J Moore, S Stuart, R Walker, P McMeekin, F Young, A Godfrey 2022 IEEE-EMBS International Conference on Wearable and Implantable Body …, 2022 | 4 | 2022 |
Using video technology and AI within Parkinson’s disease free-living fall risk assessment J Moore, Y Celik, S Stuart, P McMeekin, R Walker, V Hetherington, ... Sensors 24 (15), 4914, 2024 | 2 | 2024 |
Coproduction and usability of a smartphone app for falls reporting in Parkinson disease J Wales, J Moore, J Naisby, N Ratcliffe, G Barry, A Amjad, A Godfrey, ... Physical therapy 104 (2), pzad076, 2024 | 2 | 2024 |
Gait on the edge: A proposed wearable for continuous real-time monitoring beyond the lab Y Celik, J Moore, M Durgun, S Stuart, WL Woo, A Godfrey IEEE Sensors Journal, 2023 | 2 | 2023 |
A proposed pervasive smartphone application for personalised gait rehabilitation C Wall, F Young, J Moore, P McMeekin, R Walker, A Godfrey 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023 | 2 | 2023 |
Enhancing fall risk assessment: instrumenting vision with deep learning during walks J Moore, R Catena, L Fournier, P Jamali, P McMeekin, S Stuart, R Walker, ... Journal of NeuroEngineering and Rehabilitation 21 (1), 1-14, 2024 | 1 | 2024 |
Better informing everyday fall risk assessment: experimental studies with contemporary technologies J Moore, S Stuart, P McMeekin, R Walker, A Godfrey The Lancet 402, S6, 2023 | 1 | 2023 |
Sensor Integration for Gait Analysis Y Celik, R Vitorio, D Powell, J Moore, F Young, G Coulby, J Tung, ... Elsevier, 2023 | 1 | 2023 |
A proposed computer vision model for running gait assessment F Young, R Mason, J Moore, S Stuart, R Morris, A Godfrey 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 2022 |
Instrumenting traditional approaches to physical assessment D Powell, Y Celik, D Trojaniello, F Young, J Moore, S Stuart, A Godfrey Digital Health, 27-42, 2021 | 1 | 2021 |
Better understanding fall risk: AI-based computer vision for contextual gait assessment J Moore, P McMeekin, S Stuart, R Morris, Y Celik, R Walker, ... Maturitas 189, 108116, 2024 | | 2024 |
Contextualising free-living gait with computer vision J Moore, A Godfrey Maturitas, 108065, 2024 | | 2024 |
iFall: Usability of a co-produced falls reporting smartphone application in people with Parkinson's R Morris, J Moore, N Ratcliffe, G Barry, J Naisby, A Amjad, A Godfrey, ... MOVEMENT DISORDERS 37, S7-S7, 2022 | | 2022 |
iFall: An instrumented application for falls reporting in Parkinson's disease R Morris, G Standerline, E Webster, J Moore, A Godfrey, A Amjad Physiotherapy 114, e93, 2022 | | 2022 |
iFall: Co-producing an instrumented application prototype for falls reporting in Parkinson’s disease R Morris, E Webster, G Standerline, J Moore, A Godfrey, A Amjad MOVEMENT DISORDERS 36, S490-S490, 2021 | | 2021 |
Towards context-aware free-living digital biomarkers for gait assessment J Moore, P McMeekin, A Godfrey | | |