Dr Craig Childs

Teaching Fellow

Biomedical Engineering

Personal statement

Dr Craig Childs is a Teaching Fellow in Biomedical Engineering, with a background in mechanical and biomedical engineering and a doctorate in the application of implanted devices for assisting human movement. He teaches rigid body biomechanics to all levels, focussing on prosthetics, orthotics and sport rehabilitation applications. Dr Childs manages the department's Motek Forcelink CAREN facility, applying his expertise in use of technology (e.g. VR, IMUs) for upper and lower limb rehabilitation, with a particular interest in stability and cognitive load. 


Human-in-the-loop layered architecture for control of a wearable ankle–foot robot
Martinez-Hernandez Uriel, Firouzy Sina, Mehryar Pouyan, Meng Lin, Childs Craig, Buis Arjan, Dehghani-Sanij Abbas A
Robotics and Autonomous Systems Vol 161 (2023)
Functional quadriceps reconstruction : 3D gait analysis, EMG and environmental simulator outcomes
Lo Steven, Childs Craig, Mahendra Ashish, Young Peter, Carse Bruce
Journal of Plastic, Reconstructive & Aesthetic Surgery Vol 75, pp. 3924-3937 (2022)
A pilot randomised control trial of the efficacy of stability-based training with visualisation for people with chronic ankle instability
Forsyth L, Bonacci J, Childs C
Medical and Biological Engineering and Computing Vol 60, pp. 1199-1209 (2022)
Perception of stability correlates with objective performance of dynamic stability for people with chronic ankle instability
Forsyth L, Pourkazemi F, Al Adal S, Hiller C E, Childs C R
Sport Sciences for Health Vol 18, pp. 823-829 (2021)
A Strathclyde cluster model for gait kinematic measurement using functional methods : a study of inter-assessor reliability analysis with comparison to anatomical models
Meng Lin, Millar Lindsay, Childs Craig, Buis Arjan
Computer Methods in Biomechanics and Biomedical Engineering Vol 23, pp. 844-853 (2020)
Effect of walking variations on complementary filter based inertial data fusion for ankle angle measurement
Meng Lin, Li Baihan, Childs Craig, Buis Arjan, He Feng, Ming Dong
2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 1-5 (2020)

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Professional activities

Short-term Lower Limb Mechanics During Stair Descent and Downhill Gait in Total Knee Arthroplasty Patients

More professional activities


Development of a process for investigating physiological changes in the lower limb following rehabilitation exercises, starting with the use of an exercise footstool.
Robertson, Craig (Principal Investigator) Childs, Craig (Principal Investigator)
01-Jan-2018 - 01-Jan-2019
Game development of a stability-based leaping activity for people with chronic ankle instability
Forsyth, Lauren Emma (Principal Investigator) Childs, Craig (Principal Investigator)
Assessing game difficulty and enjoyment for a leaping game using virtual reality
01-Jan-2018 - 01-Jan-2020
BTG: Development of a visually immersive gait training system for use in the walking rehabilitation of stroke survivors combining the scientific disciplines of biomechanics and motor learning
Kerr, Andy (Academic) Grealy, Madeleine (Academic) Stankovic, Vladimir (Academic) Murphy, Andrew James (Academic) Childs, Craig (Academic) Rowe, Philip (Academic)
The installation of a CAREN (computer assisted rehabilitation environment) system within the Biomedical Engineering department offers the opportunity to develop specific rehabilitation applications for commercial exploitation and clinical research. Stroke survivors are one of the biggest users of rehabilitation services with around 1.1 million survivors in the UK. Walking is a high priority for this population but most do not recover independent walking. This project aims to combine expertise across the University along with a users’ panel of stroke survivors to co-produce a prototype gait training application ready for marketing, through an existing commercial partner, and suitable for clinical research.
03-Jan-2014 - 31-Jan-2014

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