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Multimodal haptic interface for walker-assisted navigation

Wang, Yikun; Sierra M, Sergio D.; Harris, Nigel; Múnera, Marcela; Cifuentes, Carlos A.

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Authors

Yikun Wang

Sergio D. Sierra M

Nigel Harris

Marcela Múnera



Abstract

This study investigates the efficacy of a haptic interface, aiming to offer the walking frame users accurate, intuitive, and easily understandable directional cues. The research introduces a novel haptic feedback interface incorporated into a walking frame to enhance navigation assistance. The haptic handle encompasses three distinct haptic feedback modalities: vibration, skin stretch, and combined feedback. Ten participants, all in good health, engaged with the haptic handle for navigation. Across all three haptic feedback methods, 60% of participants found the combined feedback to be the most effective, while 40% favoured the vibration feedback; none selected the skin-stretch feedback. Comparative analysis revealed significant disparities between vibration and combined input regarding velocity (p-value: 0.04). These findings emphasize the haptic handle's capacity to give users an instinctive perception of directional cues, thus offering a promising avenue for assistive navigation.

Presentation Conference Type Conference Paper (published)
Conference Name 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
Start Date Oct 14, 2024
End Date Oct 18, 2024
Acceptance Date Jun 30, 2024
Online Publication Date Dec 25, 2024
Publication Date Dec 25, 2024
Deposit Date Sep 10, 2024
Publicly Available Date Jan 7, 2025
Peer Reviewed Peer Reviewed
Pages 141-146
Series ISSN 2153-0866
Book Title 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
DOI https://doi.org/10.1109/IROS58592.2024.10801733
Public URL https://uwe-repository.worktribe.com/output/12876236
Related Public URLs https://iros2024-abudhabi.org/about

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