DocumentCode :
1247286
Title :
Utilization of ultrasound sensors for anti-collision systems of powered wheelchairs
Author :
Dutta, Tilak ; Fernie, Geoff R.
Author_Institution :
Centre for Studies in Aging, Sunnybrook & Women´´s Coll., Canada
Volume :
13
Issue :
1
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
24
Lastpage :
32
Abstract :
Anti-collision systems have been developed for use with powered wheelchairs in order to enable people with cognitive or physical impairments to safely operate a powered wheelchair. Anti-collision systems consist of sensors that have the ability to detect objects near the wheelchair and a computer that can stop the chair if a collision is determined to be likely. This investigation considered the suitability of using ultrasound sensors in such a system when encountering objects typically found within a home or a long-term care facility. An ultrasound sensor´s ability to detect an object was dependent on the object´s size, shape, specularity, reflectivity, and sound absorption characteristics. Ultrasound sensors, by themselves, were found to be unsuitable for anti-collision systems due to an inability to detect objects commonly encountered in the target environment (the home or long-term care facility) without increasing the complexity of the system to such a degree that it would be prohibitive to deploy this technology to the public.
Keywords :
biomedical ultrasonics; handicapped aids; sensors; ultrasonic transducers; anti-collision systems; cognitive impairments; home; long-term care facility; object reflectivity; object shape; object size; object specularity; physical impairments; powered wheelchairs; sound absorption; ultrasound sensors; Acoustic sensors; Costs; Intelligent sensors; Legged locomotion; Object detection; Senior citizens; Sensor phenomena and characterization; Sensor systems; Ultrasonic imaging; Wheelchairs; Anti-collision system; assistive technology; powered wheelchair; ultrasound sensor; Artificial Intelligence; Equipment Design; Equipment Failure Analysis; Equipment Safety; Image Interpretation, Computer-Assisted; Transducers; Ultrasonics; Wheelchairs;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2004.842366
Filename :
1406018
Link To Document :
بازگشت