A Deep Learning Based Wearable Healthcare Iot Device for AI-Enabled Hearing Assistance Automation. - Fraser Young; Li Zhang 013; Richard Jiang 001; Han Liu 002; Conor Wall (ICMLC, 2020)

Just Find It: The Mymo Approach to Recommend Running Shoes. - Fraser Young; Graham Coulby; Ian Watson; Craig Downs; Samuel Stuart; Alan Godfrey (IEEE Access, 2020)

Validation of an inertial-based contact and swing time algorithm for running analysis from a foot mounted IoT enabled wearable. - Fraser Young; Samuel Stuart; Rosie Morris; Craig Downs; Martin Coleman; Alan Godfrey (EMBC, 2021)

Deep learning semantic segmentation for indoor terrain extraction: Toward better informing free-living wearable gait assessment. - Jason Moore; Samuel Stuart; Richard Walker 005; Peter McMeekin; Fraser Young; Alan Godfrey (BSN, 2022)

A proposed computer vision model for running gait assessment. - Fraser Young; Rachel Mason; Jason Moore; Samuel Stuart; Rosie Morris; Alan Godfrey (EMBC, 2022)

A proposed pervasive smartphone application for personalised gait rehabilitation. - Conor Wall; Fraser Young; Jason Moore; Peter McMeekin; Richard Walker 005; Alan Godfrey (BSN, 2023)

Lightweight markerless identification of temporal gait outcomes with BlazePose. - Fraser Young; Conor Wall; Lisa Graham; Samuel Stuart; Rosie Morris; Alan Godfrey (BSN, 2023)

IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring. - Fraser Young; Rachel Mason; Rosie Morris; Samuel Stuart; Alan Godfrey (Sensors, 2023)

Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera. - Fraser Young; Rachel Mason; Rosie Morris; Samuel Stuart; Alan Godfrey (Sensors, 2023)

Bespoke Fuzzy Logic Design to Automate a Better Understanding of Running Gait Analysis. - Fraser Young; Samuel Stuart; Robert McNicol; Rosie Morris; Craig Downs; Martin Coleman; Alan Godfrey (IEEE J. Biomed. Health Informatics, 2023)