Title
Machine Learning-Enhanced AR for Independent Lower Limb Rehabilitation
Authors
[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee
Scientific discipline (Law 2.0)
[2.2] Automation, electronics, electrical engineering and space technologies
Year of publication
2026
Chapter type
chapter in monograph / paper
Publication language
english
Keywords
EN
- augmented reality
- software architecture
- rehabilitation
- lower limbs
Abstract
EN This paper presents an innovative augmented reality system designed to support lower limb rehabilitation for neurological patients, such as stroke survivors. Using machine learning driven pose estimation algorithms and Unity-based software, the system enables patients to perform exercises autonomously without the need for external sensors or constant supervision. Relying solely on RGB camera data from AR glasses, the system offers interactive and engaging rehabilitation sessions that can be performed at home. Experimental results demonstrate feasibility of this cost-effective solution.
Date of online publication
30.10.2025
Pages (from - to)
137 - 147
License type
other
Ministry points / chapter
20
System created by Poznań University of Technology
and Poznan Supercomputing and Networking Center
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