UNIVERSITA’ DI TRENTO – Department of Industrial Engineering

UniTN – Dept. of Industrial Engineering — RES4NET
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Università di Trento — Dept. of Industrial Engineering

Augmented Reality for
Motor Rehabilitation

Collaborative robotic walker and shared Mixed Reality interface for rehabilitation and industrial monitoring

Health Industry
Digital industry and human-machine interface — Università di Trento Industrial Engineering

Research overview

Application field Rehabilitation, Health, Industry
Technology Robotics, Human-machine interfaces, Mixed Reality devices applied in industry and rehabilitation
Activity Condition Monitoring, Data Collection, Shared Augmented Reality based on HoloLens

Keywords

Augmented Reality HoloLens Rehabilitation Data Visualization Human-Machine Interface Robotics

Operation of the proposed solution

New technologies offer improved opportunities for recovery by addressing three key stakeholders simultaneously: patients, caregivers, and doctors. The research centers on a collaborative adaptive walker with embedded robotic technologies, capable of providing dynamic stability for the user while enhancing the clinical assessment capabilities of the therapist.

All three figures are connected through a shared Mixed Reality interface. AR visualizations support therapists’ knowledge and guide their observations and evaluations throughout training and recovery sessions, creating a continuous feedback loop between the patient’s movement data and clinical decision-making.

Open challenges

Scientific and mechanical issues:

  • 1 Clinical validation of the walker and the Shared Augmented Reality interface
  • 2 Increasing the degrees of freedom of the walker and implementing impedance control for improved adaptability

Selected bibliography

Butaslac I.I., Luchetti A., Parolin E., Fujimoto Y., Kanbara M., De Cecco M., Kato H. “The Feasibility of Augmented Reality as a Support Tool for Motor Rehabilitation.” Lecture Notes in Computer Science — Lecture Notes in Artificial Intelligence, pp. 165–173. Springer Science and Business Media Deutschland GmbH. 2020
Proc. 7th Intl. Conference on Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2020).
doi.org/10.1007/978-3-030-58468-9_13

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