Enabling independent navigation for visually impaired people through a wearable vision-based feedback system

Hsueh-Cheng Wang*, Robert K. Katzschmann, Santani Teng, Brandon Araki, Laura Giarre, Daniela Rus

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

47 Scopus citations

Abstract

This work introduces a wearable system to provide situational awareness for blind and visually impaired people. The system includes a camera, an embedded computer and a haptic device to provide feedback when an obstacle is detected. The system uses techniques from computer vision and motion planning to (1) identify walkable space; (2) plan step-by-step a safe motion trajectory in the space, and (3) recognize and locate certain types of objects, for example the location of an empty chair. These descriptions are communicated to the person wearing the device through vibrations. We present results from user studies with low- and high-level tasks, including walking through a maze without collisions, locating a chair, and walking through a crowded environment while avoiding people.

Original languageEnglish
Title of host publicationICRA 2017 - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6533-6540
Number of pages8
ISBN (Electronic)9781509046331
DOIs
StatePublished - 21 Jul 2017
Event2017 IEEE International Conference on Robotics and Automation, ICRA 2017 - Singapore, Singapore
Duration: 29 May 20173 Jun 2017

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2017 IEEE International Conference on Robotics and Automation, ICRA 2017
CountrySingapore
CitySingapore
Period29/05/173/06/17

Fingerprint Dive into the research topics of 'Enabling independent navigation for visually impaired people through a wearable vision-based feedback system'. Together they form a unique fingerprint.

  • Cite this

    Wang, H-C., Katzschmann, R. K., Teng, S., Araki, B., Giarre, L., & Rus, D. (2017). Enabling independent navigation for visually impaired people through a wearable vision-based feedback system. In ICRA 2017 - IEEE International Conference on Robotics and Automation (pp. 6533-6540). [7989772] (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2017.7989772