Literature DB >> 34644159

Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision.

Patrick Slade1, Arjun Tambe1, Mykel J Kochenderfer2.   

Abstract

Globally, more than 250 million people have impaired vision and face challenges navigating outside their homes, affecting their independence, mental health, and physical health. Navigating unfamiliar routes is challenging for people with impaired vision because it may require avoiding obstacles, recognizing objects, and wayfinding indoors and outdoors. Existing approaches such as white canes, guide dogs, and electronic travel aids only tackle some of these challenges. Here, we present the Augmented Cane, a white cane with a comprehensive set of sensors and an intuitive feedback method to steer the user, which addresses navigation challenges and improves mobility for people with impaired vision. We compared the Augmented Cane with a white cane by having sighted and visually impaired participants complete navigation challenges while blindfolded: walking along hallways, avoiding obstacles, and following outdoor waypoints. Across all experiments, the Augmented Cane increased the walking speed for participants with impaired vision by 18 ± 7% and sighted participants by 35 ± 12% compared with a white cane. The increase in walking speed may be due to accurate steering assistance, reduced cognitive load, fewer contacts with the environment, and higher participant confidence. We also demonstrate advanced navigation capabilities of the Augmented Cane: indoor wayfinding, recognizing and steering the participant to a key object, and navigating a sequence of indoor and outdoor challenges. The open-source and low-cost design of the Augmented Cane provides a platform that may improve the mobility and quality of life of people with impaired vision.

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Year:  2021        PMID: 34644159     DOI: 10.1126/scirobotics.abg6594

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  1 in total

1.  Sensor-Based Prototype of a Smart Assistant for Visually Impaired People-Preliminary Results.

Authors:  Emilia Șipoș; Cosmin Ciuciu; Laura Ivanciu
Journal:  Sensors (Basel)       Date:  2022-06-03       Impact factor: 3.847

  1 in total

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