معرفی
Josh Carter is a Researcher at the Centre for Health and Injury and Illness Prevention in Sport (CHI2PS) at the University of Bath, specializing in biomechanics and wearable sensor technology. He recently completed his PhD in June 2025 with research focused on musculoskeletal load estimation and injury prevention in running.
His educational background includes:
- PhD in Biomechanics, University of Bath, 2025
Carter's research integrates deep learning with wearable sensors to advance gait analysis and injury prevention. He pioneers methods for estimating biomechanical parameters like joint angles and ground reaction forces using consumer-grade devices, with applications spanning sports performance optimization and clinical rehabilitation. His work emphasizes translating laboratory techniques to real-world settings through innovations like ear-worn sensors (Earables) and transfer learning frameworks.
His 2025 publications reveal a cohesive research trajectory: leveraging deep learning to bridge the gap between high-precision biomechanical measurement and accessible wearable technology. Key themes include adapting treadmill-based running analysis for overground use, estimating cycling joint angles via LSTM networks, and developing clinically viable monitoring systems for Parkinson's disease patients.
His scientific recognition includes:
- ISBS New Investigator Award (2024)
- BIG 2024 Poster presentation 2nd place (2024)
- ISBS New Investigator Award finalist (2021)
Carter secured research funding as a core team member on the 2023 project 'A sense-act digital technology for home-based diabetic foot ulcer care,' demonstrating grant acquisition capability. While not yet supervising formal PhD students, he maintains extensive collaborations across biomechanics and health technology domains, co-authoring with international researchers on gait analysis and sensor development.
He actively contributes to the Centre for Health and Injury and Illness Prevention in Sport (CHI2PS), working within interdisciplinary teams that combine engineering, clinical expertise, and data science to develop injury prevention solutions for athletic and clinical populations.
