This paper is in the following e-collection/theme issue:

Emerging Technologies for Rehabilitation (365) Mobile Health (mhealth) (3570) Human Factors and Usability Case Studies (1037) Design and Usability of Medical Devices (149) Extended Reality, Virtual Reality and Virtual Worlds (785) Usability and Technology Use Studies with Elder Subjects (282) Assistive Technologies (156) Assistive Technology for Vision Loss/Impairment (25) UX and Human Factors in XR and Spatial Computing (60)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55776, first published .
Navigation Training for Persons With Visual Disability Through Multisensory Assistive Technology: Mixed Methods Experimental Study

Navigation Training for Persons With Visual Disability Through Multisensory Assistive Technology: Mixed Methods Experimental Study

Navigation Training for Persons With Visual Disability Through Multisensory Assistive Technology: Mixed Methods Experimental Study

Authors of this article:

Fabiana Sofia Ricci1, 2 Author Orcid Image ;   Lorenzo Liguori2, 3 Author Orcid Image ;   Eduardo Palermo3 Author Orcid Image ;   John-Ross Rizzo1, 4, 5, 6 Author Orcid Image ;   Maurizio Porfiri1, 2, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Gao Q, Manduchi R, Ramulu P, Legge G, Xiong Y. VI-OCR: “Visually Impaired” optical character recognition pipeline for text accessibility assessment. Scientific Reports 2025;16(1) View

Conference Proceedings

  1. Bairwa B, Reddy B, Janali A, Ambrish , M C. 2025 International Conference on Electrical, Electronics, and Computer Science with Advance Power Technologies - A Future Trends (ICE2CPT). Deep Learning-Powered Visual Aid System for Blind Navigation View