C. Feltner, J. Guilbe, S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut

Smart Walker for the Visually Impaired


Cite as:

C. Feltner, J. Guilbe, S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Smart Walker for the Visually Impaired. In Accepted for publication at IEEE ICC 2019, May 2019.

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Abstract:

Navigation of environments is a complex challenge for individuals who are visually impaired, and these individuals are typically aided by tools such as canes or guide dogs. Individuals who are both visually and mobility impaired encounter greater difficulty, since conventional aids do not integrate well with walkers or rollators. Current depth-sensing cameras, when combined with affordable micro-computing devices, have the potential to aid such individuals. In this paper, we propose an approach to recognize obstacles which may endanger the user, as well as obtain their distance from the user. This information can be conveyed to the user through a haptic interface on the walker. Our design helps to protect the user from colliding with obstacles in their path. In comparison with traditional mobility methods, the smart walker allows the user to navigate the environment faster and with less physical and cognitive load. Relative to previous designs, our approach completes this task at a significantly lower cost per unit.

BibTeX:

@inproceedings{Feltner-2019-ICC,
	author = "C. Feltner and J. Guilbe and S. Zehtabian and S. Khodadadeh and L. B{\"o}l{\"o}ni and D. Turgut",
	title = "Smart Walker for the Visually Impaired",
	booktitle = "Accepted for publication at IEEE ICC 2019",
	year = "2019",
	month = "May",
    abstract = {
    Navigation of environments is a complex challenge for individuals who are visually impaired, and these individuals are typically aided by tools such as canes or guide dogs. Individuals who are both visually and mobility impaired encounter greater difficulty, since conventional aids do not integrate well with walkers or rollators. Current depth-sensing cameras, when combined with affordable micro-computing devices, have the potential to aid such individuals. In this paper, we propose an approach to recognize obstacles which may endanger the user, as well as obtain their distance from the user. This information can be conveyed to the user through a haptic interface on the walker. Our design helps to protect the user from colliding with obstacles in their path. In comparison with traditional mobility methods, the smart walker allows the user to navigate the environment faster and with less physical and cognitive load. Relative to previous designs, our approach completes this task at a significantly lower cost per unit.
    },
}

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