N. Mostofa, K. Fullin, S. Zehtabian, S. S. Bacanli, L. Bölöni, and D. Turgut. IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation. In Proc. of IEEE ICC 2020, pp. 1–6, June 2020.
Many elderly individuals have physical restrictions that require the use of a walker to maintain stability while walking. In addition, many of these individuals also have age-related visual impairments that make it difficult to avoid obstacles in unfamiliar environments. To help such users navigate their environment faster, safer and more easily, we propose a smart walker augmented with a collection of ultrasonic sensors as well as a camera. The data collected by the sensors is processed using echo-location based obstacle detection algorithms and deep neural networks based object detection algorithms, respectively. The system alerts the user to obstacles and guides her on a safe path through audio and haptic signals.
@inproceedings{Mostofa-2020-ICC,
author = "N. Mostofa and K. Fullin and S. Zehtabian and S. S. Bacanli and L. B{\"o}l{\"o}ni and D. Turgut",
title = "IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation",
booktitle = "Proc. of IEEE ICC 2020",
pages = "1-6",
year = "2020",
month = "June",
abstract = {Many elderly individuals have physical restrictions that require the use of a walker to maintain stability while walking. In addition, many of these individuals also have age-related visual impairments that make it difficult to avoid obstacles in unfamiliar environments. To help such users navigate their environment faster, safer and more easily, we propose a smart walker augmented with a collection of ultrasonic sensors as well as a camera. The data collected by the sensors is processed using echo-location based obstacle detection algorithms and deep neural networks based object detection algorithms, respectively. The system alerts the user to obstacles and guides her on a safe path through audio and haptic signals. },
}
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