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Jason Moore
Jason Moore
Postdoctoral Researcher, Northumbria University
Verifisert e-postadresse på northumbria.ac.uk
Tittel
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Sitert av
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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
192023
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
72022
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
62023
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
42024
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
42022
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
22024
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
22024
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
22023
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
22023
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
12024
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
12023
Sensor Integration for Gait Analysis
Y Celik, R Vitorio, D Powell, J Moore, F Young, G Coulby, J Tung, ...
Elsevier, 2023
12023
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
12022
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
12021
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
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Artikler 1–20