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Fraser Young
Fraser Young
Verified email at northumbria.ac.uk
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Cited by
Cited by
Year
Wearables for running gait analysis: A systematic review
R Mason, LT Pearson, G Barry, F Young, O Lennon, A Godfrey, S Stuart
Sports Medicine 53 (1), 241-268, 2023
472023
Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design
G Coulby, A Clear, O Jones, F Young, S Stuart, A Godfrey
BioMedical Engineering OnLine 19, 1-24, 2020
422020
BioMeT and algorithm challenges: a proposed digital standardized evaluation framework
A Godfrey, JC Goldsack, P Tenaerts, A Coravos, C Aranda, A Hussain, ...
IEEE Journal of Translational Engineering in Health and Medicine 8, 1-8, 2020
162020
Just find it: The Mymo approach to recommend running shoes
F Young, G Coulby, I Watson, C Downs, S Stuart, A Godfrey
IEEE Access 8, 109791-109800, 2020
142020
A deep learning based wearable healthcare IoT device for ai-enabled hearing assistance automation
F Young, L Zhang, R Jiang, H Liu, C Wall
2020 international conference on machine learning and cybernetics (ICMLC …, 2020
132020
IoT-enabled gait assessment: the next step for habitual monitoring
F Young, R Mason, RE Morris, S Stuart, A Godfrey
Sensors 23 (8), 4100, 2023
72023
Examination of a foot mounted IMU-based methodology for a running gait assessment
F Young, R Mason, C Wall, R Morris, S Stuart, A Godfrey
Frontiers in Sports and Active Living 4, 956889, 2022
72022
Deep learning based melanoma diagnosis using dermoscopic images
C Wall, F Young, L Zhang, EJ Phillips, R Jiang, Y Yu
Developments of Artificial Intelligence Technologies in Computation and …, 2020
72020
Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera
F Young, R Mason, R Morris, S Stuart, A Godfrey
Sensors 23 (2), 696, 2023
42023
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
Bespoke fuzzy logic design to automate a better understanding of running gait analysis
F Young, S Stuart, R McNicol, R Morris, C Downs, M Coleman, A Godfrey
IEEE Journal of Biomedical and Health Informatics, 2022
32022
Validation of an inertial-based contact and swing time algorithm for running analysis from a foot mounted IoT enabled wearable
F Young, S Stuart, R Morris, C Downs, M Coleman, A Godfrey
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
32021
Frameworks: integration to digital networks and beyond
G Coulby, F Young
Digital Health, 163-176, 2021
32021
A deep learning-based approach to diagnose mild traumatic brain injury using audio classification
C Wall, D Powell, F Young, AJ Zynda, S Stuart, T Covassin, A Godfrey
Plos one 17 (9), e0274395, 2022
12022
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
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
2023
Lightweight markerless identification of temporal gait outcomes with BlazePose
F Young, C Wall, L Graham, S Stuart, R Morris, A Godfrey
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023
2023
Sensor Integration for Gait Analysis
Y Celik, R Vitorio, D Powell, J Moore, F Young, G Coulby, J Tung, ...
Elsevier, 2023
2023
OpenSCAT: Towards the development of an open and extensible digital sports concussion assessment tool to support IoT-based athlete monitoring systems
L Barker, G Coulby, F Young, S Bowen, J Das, S Stuart, A Godfrey, ...
2021
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
2021
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Articles 1–20