<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation</dc:title><dc:creator>Mostofa, Nafisa; Fullin, Kelly; Zehtabian, Sharare; Bacanli, Safa; Boloni, Ladislau; Turgut, Damla</dc:creator><dc:corporate_author/><dc:editor>null</dc:editor><dc:description>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.</dc:description><dc:publisher/><dc:date>2020-06-01</dc:date><dc:nsf_par_id>10225521</dc:nsf_par_id><dc:journal_name>IEEE International Conference on Communications (ICC) 2020</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>1 to 6</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1109/ICC40277.2020.9149442</dc:doi><dcq:identifierAwardId>1852002</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>