Augmented reality for upper limb rehabilitation: real-time kinematic feedback with HoloLens 2

Abstract Exoskeletons for rehabilitation can help enhance motor recovery in individuals suffering from neurological disorders. Precision in movement execution, especially in arm rehabilitation, is crucial to prevent maladaptive plasticity. However, current exoskeletons, while providing arm support, often lack the necessary 3D feedback capabilities to show how well rehabilitation exercises are being performed. This reduces therapist acceptance and patients’ performance. Augmented Reality technologies offer promising solutions for feedback and gaming systems in rehabilitation. In this work, we leverage HoloLens 2 with its advanced hand-tracking system to develop an application for personalized rehabilitation. Our application generates custom holographic trajectories based on existing databases or therapists’ demonstrations, represented as 3D tunnels. Such trajectories can be superimposed on the real training environment. They serve as a guide to the users and, thanks to colour-coded real-time feedback, indicate their performance. To assess the efficacy of the application in improving kinematic precision, we conducted a feasibility study with 15 healthy subjects. Comparing user tracking capabilities with and without the use of our feedback system in executing 4 different exercises, we observed significant differences, demonstrating that our application leads to improved kinematic performance. 12 clinicians tested our system and positively evaluated its usability (System Usability Scale score of 67.7) and acceptability (4.4 out of 5 in the ’Willingness to Use’ category in the relative Technology Acceptance Model). The results from the tests on healthy participants and the feedback from clinicians encourage further exploration of our framework, to verify its potential in supporting arm rehabilitation for individuals with neurological disorders.

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Publication Details

Journal
Virtual Reality
Published
2025-03-25
DOI
https://doi.org/10.1007/s10055-025-01124-1
Citations
6
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
6.16

Funders

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article

Augmented reality for upper limb rehabilitation: real-time kinematic feedback with HoloLens 2

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6 citations
Virtual Reality
Stroke Rehabilitation and Recovery
6.16
article

Augmented reality for upper limb rehabilitation: real-time kinematic feedback with HoloLens 2

Agnese Seregni, Alessandra Pedrocchi, Beatrice Luciani, Francesco Braghin, Marta Gandolla, Peppino Tropea
article en
6 citations

Abstract

Abstract Exoskeletons for rehabilitation can help enhance motor recovery in individuals suffering from neurological disorders. Precision in movement execution, especially in arm rehabilitation, is crucial to prevent maladaptive plasticity. However, current exoskeletons, while providing arm support, often lack the necessary 3D feedback capabilities to show how well rehabilitation exercises are being performed. This reduces therapist acceptance and patients’ performance. Augmented Reality technologies offer promising solutions for feedback and gaming systems in rehabilitation. In this work, we leverage HoloLens 2 with its advanced hand-tracking system to develop an application for personalized rehabilitation. Our application generates custom holographic trajectories based on existing databases or therapists’ demonstrations, represented as 3D tunnels. Such trajectories can be superimposed on the real training environment. They serve as a guide to the users and, thanks to colour-coded real-time feedback, indicate their performance. To assess the efficacy of the application in improving kinematic precision, we conducted a feasibility study with 15 healthy subjects. Comparing user tracking capabilities with and without the use of our feedback system in executing 4 different exercises, we observed significant differences, demonstrating that our application leads to improved kinematic performance. 12 clinicians tested our system and positively evaluated its usability (System Usability Scale score of 67.7) and acceptability (4.4 out of 5 in the ’Willingness to Use’ category in the relative Technology Acceptance Model). The results from the tests on healthy participants and the feedback from clinicians encourage further exploration of our framework, to verify its potential in supporting arm rehabilitation for individuals with neurological disorders.

Virtual RealityVol. 29(2)
Casa di Cura Columbus (IT), Spoon River College (US), Politecnico di Milano (IT)
Politecnico di Milano
Openalex Percentile: Top 4%
Stroke Rehabilitation and Recovery
6.16
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