Dr Mark Elliott MEng, PhD, FIMA, FHEA

School of Sport, Exercise and Rehabilitation Sciences
Associate Professor of Human Movement Analytics

Contact details

Email: m.elliott.3@bham.ac.uk
Twitter: @dr_mte

Dr Elliott’s research is centred on data-driven and digital health focussed approaches to infer people’s health and behaviour, through the measure of human movement and physiology. He applies state-of-the-art methods to monitor, measure and model movement and physiology using data from wearable sensors, motion capture systems and smartphones. He has particular interests in using technologies to capture objective measures of physical function, detect early onset of osteoarthritis and analyse physical activity related behaviour.

Qualifications

MEng Electronic Systems Engineering (Aston University)

PhD Biomedical Engineering (Aston University)

Biography

Before completing his PhD, Mark qualified with an MEng in Electronic Systems Engineering (Aston University) and worked for 3 years as a Design Engineer in the telecommunications industry. He completed his PhD at Aston University, developing machine learning methods to discriminate between different walking patterns. He subsequently went on to complete two post-doctoral Research Fellow positions in the Sensory Motor Neuroscience (SyMoN) lab at the University of Birmingham, modelling the timing of human movement. He gained the post of Assistant Professor and subsequently, Associate Professor at the Institute of Digital Healthcare, WMG, University of Warwick in 2015, establishing his current research interests combining digital health and human movement analysis. He took up his current post in the School of Sport Exercise and Rehabilitation Sciences in 2024.

Postgraduate supervision

Dr Elliott is interested in supervising Masters and PhD students in the following areas:

Early detection of osteoarthritis and other musculoskeletal conditions using objective measures of movement, physiology and other variables.
Modelling and predicting health outcomes using smartphone/wearable based measures of physical activity, sleep and other variables.
Technologies to support self-management of physiotherapy (inc. virtual/augmented realities, smartphone apps)
Integration and standardisation of large human movement datasets.
Investigating the role of incentives for increasing physical activity using digital platforms.

Research

Applying analysis, modelling and machine learning methods to movement and physiology data to infer health and behaviour.
Developing and applying technology to support and monitor self-management of musculoskeletal (MSK) conditions.
Evaluation and validation of novel sensor technologies for quantifying movement related behaviour.
Investigating the role of digital incentives platforms for increasing physical activity.
Understanding the barriers to health technology adoption and health inequalities in MSK medicine.

Other activities

Fellow of the Institute of Mathematics and its Applications (FIMA)

Topic Driver for the AI 4 MSK Medicine Topic Group (TG-MSK), part of the WHO/ITU AI4Health Global Initiative.

Publications

Recent publications

Article

Kempton, C, Ryan, K, Clohessy, S, Grinbergs, P & Elliott, MT 2025, 'Capturing objective functional measures using smartphone inertial sensors: feasibility and usability study with older adults', JMIR Rehabilitation and Assistive Technologies, vol. 12, e72511. https://doi.org/10.2196/72511

Sharma, S, Woodman, R & Elliott, MT 2026, 'Key factors influencing adoption of next-generation transportation technologies among people with disabilities', Travel Behaviour and Society, vol. 42, 101124. https://doi.org/10.1016/j.tbs.2025.101124

Cheung, TH, Elliott, M, Stephens, G & Mansfield, M 2025, 'The effectiveness of digital physiotherapy interventions in patients with knee osteoarthritis: A systematic review and meta-analysis of randomised controlled trials', BMJ open.

Sharma, S, Woodman, R, Ocean, N & Elliott, M 2025, 'Understanding future adoption of autonomous vehicle services among disabled and non-disabled users', Transportation Research Interdisciplinary Perspectives, vol. 34, 101602. https://doi.org/10.1016/j.trip.2025.101602

Clohessy, S, Kempton, C, Ryan, K, Grinbergs, P & Elliott, M 2024, 'Exploring Older Adults' Perceptions of Using Digital Health Platforms for Self-Managing Musculoskeletal Health Conditions: Focus Group Study', JMIR Aging, vol. 7, e55693. https://doi.org/10.2196/55693

Clohessy, S, Arvanitis, TN, Rashid, U, Craddock, C, Evans, M, Toro, CT & Elliott, MT 2024, 'Using digital tools in clinical, health and social care research: a mixed-methods study of UK stakeholders', BMJ open, vol. 14, no. 4, e076613. https://doi.org/10.1136/bmjopen-2023-076613

Hamilton, RI, Garcia, AA, Bowd, J, Hamilton, D, Mason, D, Elliott, M & Holt, C 2024, 'Utilising electrodermal activity sensor signals to quantify nociceptive response during movement activities', BMC Research Notes, vol. 17, no. 1, 36. https://doi.org/10.1186/s13104-024-06689-9

Perello-March, J, Burns, CG, Woodman, R, Birrell, S & Elliott, MT 2023, 'How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging Study', Human Factors. https://doi.org/10.1177/00187208231185705

Perello-March, JR, Burns, CG, Woodman, R, Elliott, MT & Birrell, SA 2023, 'Using fNIRS to Verify Trust in Highly Automated Driving', IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 739-751. https://doi.org/10.1109/TITS.2022.3211089

Evans, J, Hamilton, RI, Biggs, P, Holt, C & Elliott, MT 2022, 'Data sharing across osteoarthritis research groups and disciplines: Opportunities and challenges', Osteoarthritis and Cartilage Open, vol. 4, no. 1, 100236. https://doi.org/10.1016/j.ocarto.2022.100236

Comment/debate

Elliott, MT, Delanerolle, G & Elneil, S 2025, 'Pelvic organ prolapse and physical activity: directions for future research', British Journal of Sports Medicine, vol. 59, pp. 1183-1185. https://doi.org/10.1136/bjsports-2024-109257

Conference contribution

Azmat, F, Elliott, M & Collingwood, J 2024, Improving access and participation of women to engineering research. in Proceedings of the 52nd Annual Conference of SEFI. European Society for Engineering Education (SEFI), Lausanne, Switzerland, 52nd Annual Conference of the European Society for Engineering Education (SEFI 2024), Lausanne, Switzerland, 2/09/24. https://doi.org/10.5281/zenodo.14256881

Su, Z, Woodman, R, Zhou, L, Ocean, N & Elliott, MT 2024, Interacting with Automated Vehicles: Effects of Trait Driving Anger and Time Gaps. in 2024 10th International HCI and UX Conference in Indonesia (CHIuXiD). HCI and UX Conference in Indonesia (CHIuXiD), International, Institute of Electrical and Electronics Engineers (IEEE), pp. 78-83, 10th International HCI and UX Conference in Indonesia, CHIuXiD 2024, Hybrid, Jakarta, Indonesia, 15/11/24. https://doi.org/10.1109/CHIuXiD64022.2024.10860656

Sharma, S, Woodman, R & Elliott, MT 2023, Exploring the Impact of Autonomous Taxis on People with Disabilities. in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)., 10421862, IEEE Conference on Intelligent Transportation Systems, Institute of Electrical and Electronics Engineers (IEEE), pp. 5210-5215, 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Spain, 24/09/23. https://doi.org/10.1109/ITSC57777.2023.10421862

Review article

Su, Z, Woodman, R, Smyth, J & Elliott, M 2023, 'The relationship between aggressive driving and driver performance: A systematic review with meta-analysis', Accident Analysis and Prevention, vol. 183, 106972. https://doi.org/10.1016/j.aap.2023.106972

View all publications in research portal