N. Mostofa, C. Feltner, K. Fullin, J. Guilbe, S. Zehtabian, S. S. Bacanli, L. Bölöni, and D. Turgut. A Smart Walker for People with Both Visual and Mobility Impairment. Sensors, 21(10), May 2021. DOI: 10.3390/s21103488
In recent years, significant work has been done in technological enhancements for mobility aids (smart walkers). However, most of this work does not cover the millions of people who have both mobility and visual impairments. In this paper, we design and study four different configurations of smart walkers that are specifically targeted to the needs of this population. We investigated different sensing technologies (ultrasound-based, infrared depth cameras and RGB cameras with advanced computer vision processing), software configurations, and user interface modalities (haptic and audio signal based). Our experiments show that there are several engineering choices that can be used in the design of such assistive devices. Furthermore, we found that a holistic evaluation of the end-to-end performance of the systems is necessary, as the quality of the user interface often has a larger impact on the overall performance than increases in the sensing accuracy beyond a certain point.
@article{Mostofa-2021-Sensors,
author = "N. Mostofa and C. Feltner and K. Fullin and J. Guilbe and S. Zehtabian and S. S. Bacanli and L. B{\"o}l{\"o}ni and D. Turgut",
title = "A Smart Walker for People with Both Visual and Mobility Impairment",
journal = "Sensors",
volume = {21},
month = {May},
year = {2021},
number = {10},
article-number = {3488},
note = {DOI: 10.3390/s21103488},
abstract = {In recent years, significant work has been done in technological enhancements for mobility aids (smart walkers). However, most of this work does not cover the millions of people who have both mobility and visual impairments. In this paper, we design and study four different configurations of smart walkers that are specifically targeted to the needs of this population. We investigated different sensing technologies (ultrasound-based, infrared depth cameras and RGB cameras with advanced computer vision processing), software configurations, and user interface modalities (haptic and audio signal based). Our experiments show that there are several engineering choices that can be used in the design of such assistive devices. Furthermore, we found that a holistic evaluation of the end-to-end performance of the systems is necessary, as the quality of the user interface often has a larger impact on the overall performance than increases in the sensing accuracy beyond a certain point.},
}
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