Justin Gallagher

University of Leeds

Papers

8

Total Citations

221

H-Index

6

About

Justin Gallagher’s research sits at the vital intersection of rehabilitation robotics, assistive technology, and human-robot interaction, with a clear focus on making therapy accessible outside the clinic. His most impactful work, the 2014 study on the home-based Computer Assisted Arm Rehabilitation (hCAAR) robotic device, demonstrated the feasibility of self-directed upper limb exercise for stroke survivors in their own homes—a paper that has garnered 141 citations and helped shift the paradigm from hospital-only care. Gallagher has been a pioneer in deploying these systems in non-traditional settings, including schools for children with cerebral palsy, where his 2014 feasibility study showed that robotic gaming technology could engage young patients while providing measurable kinematic improvements. His contributions also include developing the user interface for the iPAM stroke rehabilitation system and creating ALAN-Arm, a humanoid testing platform that allows robots to test other robots—an ingenious solution for ensuring safety and efficacy in high-powered exoskeletal devices. More recently, his 2022 work on making best use of home-based rehabilitation robots addresses the critical barrier of cost-effectiveness, proposing low-cost, data-driven solutions for tele-rehabilitation. With a career spanning feasibility trials, dynamic modelling, and novel assessment methods, Gallagher is shaping a future where robotic therapy is not just effective, but practical and scalable for everyday life.

Research Focus

Key Achievements

6
H-Index
8
Papers
221
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Home-based Computer Assisted Arm Rehabilitation (hCAAR) robotic device for upper limb exercise after stroke: results of a feasibility study in home setting
141 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: University of Leeds

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago