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Pooja Viswanathan, James Little, Alan K. Mackworth, and Alex Mihailidis. Navigation and obstacle avoidance help (NOAH) for older adults with cognitive impairment: a pilot study. In Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2011, pp. 43–50, 2011.
Many older adults with cognitive impairment are excluded from powered wheelchair use because of safety concerns. This leads to reduced mobility, and in turn, higher dependence on caregivers. In this paper, we describe an intelligent wheelchair that uses computer vision and machine learning methods to provide adaptive navigation assistance to users with cognitive impairment. We demonstrate the performance of the system in a user study with the target population. We show that the collision avoidance module of the system successfully decreases the number of collisions for all participants. We also show that the wayfinding module assists users with memory and vision impairments. We share feedback from the users on various aspects of the intelligent wheelchair system. In addition, we provide our own observations and insights on the target population and their use of intelligent wheelchairs. Finally, we suggest directions for future work.
@inproceedings{ViswanathanASSETS2011,
author = {Pooja Viswanathan and James Little and Alan K. Mackworth and Alex Mihailidis},
title = {Navigation and obstacle avoidance help (NOAH) for older adults with cognitive impairment: a pilot study},
booktitle = {Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2011},
year = {2011},
location = {Dundee, Scotland, UK},
pages = {43--50},
abstract={Many older adults with cognitive impairment are excluded from
powered wheelchair use because of safety concerns. This leads to
reduced mobility, and in turn, higher dependence on caregivers. In
this paper, we describe an intelligent wheelchair that uses
computer vision and machine learning methods to provide
adaptive navigation assistance to users with cognitive impairment.
We demonstrate the performance of the system in a user study
with the target population. We show that the collision avoidance
module of the system successfully decreases the number of
collisions for all participants. We also show that the wayfinding
module assists users with memory and vision impairments. We
share feedback from the users on various aspects of the intelligent
wheelchair system. In addition, we provide our own observations
and insights on the target population and their use of intelligent
wheelchairs. Finally, we suggest directions for future work. },
bib2html_pubtype ={Refereed Conference Proceeding},
bib2html_rescat ={},
}
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