Project Description Smart walker for the visually impaired

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Project Description Smart walker for the visually impaired ◦ Four legs with wheels (rollator)

Project Description Smart walker for the visually impaired ◦ Four legs with wheels (rollator) ◦ Uses a Kinect camera to provide RGB-D images which are used for depth imaging and creating a point cloud. This gives two different but approximately equally effective methods for determining proximity of obstacles ◦ Haptic feedback is given to the user through varying-intensity vibrations in the handles which signal how close the hazard is ARIAL four-legged walker for detecting unsafe use and prescription compliance ◦ Four legs without wheels but pressure sensors attached to the bottom ◦ Legs sensors give feedback displayed to user on a display mounted on the walker (pictured next slide) to tell them how their weight is distributed among the legs ◦ Also a proximity sensor for detecting unsafe use, such as being too far from the walker which could result in falls NSF REU Research Experience on Internet of Things 2019

Smart walker for the visually impaired NSF REU Research Experience on Internet of Things

Smart walker for the visually impaired NSF REU Research Experience on Internet of Things 2019

ARIAL four-legged walker NSF REU Research Experience on Internet of Things 2019

ARIAL four-legged walker NSF REU Research Experience on Internet of Things 2019

Project 1: Io. T-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly

Project 1: Io. T-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian & Safa Bacanli Faculty mentor(s): Dr. Turgut & Dr. Bӧlӧni Week 1 (May 27 – May 31, 2019) Accomplishments: ◦ Introduction to machine learning and pandas ◦ Read through and summarized papers of previous work in our lab including the rolling walker with sensors for detecting obstacles and the four-legged walker for detecting safe and unsafe usage as well as prescription compliance ◦ Looked at the walkers from the papers and familiarized ourselves with the user interface Problem & Solutions ◦ I had several questions about the papers which I was able to figure out through rereading or researching and some I will need to ask my mentors about ◦ I am unfamiliar with most of machine learning and artificial intelligence, so I hope to get a better understanding of them in the next few weeks Plans for next week: ◦ Determine specifics of what our project will be ◦ More reading and research NSF REU Research Experience on Internet of Things 2019