Literature DB >> 21674403

Performance testing of collision-avoidance system for power wheelchairs.

Edmund F Lopresti1, Vinod Sharma, Richard C Simpson, L Casimir Mostowy.   

Abstract

The Drive-Safe System (DSS) is a collision-avoidance system for power wheelchairs designed to support people with mobility impairments who also have visual, upper-limb, or cognitive impairments. The DSS uses a distributed approach to provide an add-on, shared-control, navigation-assistance solution. In this project, the DSS was tested for engineering goals such as sensor coverage, maximum safe speed, maximum detection distance, and power consumption while the wheelchair was stationary or driven by an investigator. Results indicate that the DSS provided uniform, reliable sensor coverage around the wheelchair; detected obstacles as small as 3.2 mm at distances of at least 1.6 m; and attained a maximum safe speed of 4.2 km/h. The DSS can drive reliably as close as 15.2 cm from a wall, traverse doorways as narrow as 81.3 cm without interrupting forward movement, and reduce wheelchair battery life by only 3%. These results have implications for a practical system to support safe, independent mobility for veterans who acquire multiple disabilities during Active Duty or later in life. These tests indicate that a system utilizing relatively low cost ultrasound, infrared, and force sensors can effectively detect obstacles in the vicinity of a wheelchair.

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Year:  2011        PMID: 21674403     DOI: 10.1682/jrrd.2010.01.0008

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  3 in total

1.  Power mobility with collision avoidance for older adults: user, caregiver, and prescriber perspectives.

Authors:  Rosalie H Wang; Alexandra Korotchenko; Laura Hurd Clarke; W Ben Mortenson; Alex Mihailidis
Journal:  J Rehabil Res Dev       Date:  2013

2.  Wheelchair Navigation System for Disabled and Elderly People.

Authors:  Eun Yi Kim
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

3.  SWADAPT1: assessment of an electric wheelchair-driving robotic module in standardized circuits: a prospective, controlled repeated measure design pilot study.

Authors:  Emilie Leblong; Bastien Fraudet; Louise Devigne; Marie Babel; François Pasteau; Benoit Nicolas; Philippe Gallien
Journal:  J Neuroeng Rehabil       Date:  2021-09-16       Impact factor: 4.262

  3 in total

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