Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1982
Title: Assisting Wheelchair: Assist W
Authors: Ranaweera, D
Athalage, C
Sri Virajamana, M
Kaveesha, C
De Silva, D. I
De Silva, H
Keywords: Assisting Wheelchair
Assist W
Issue Date: 7-Dec-2021
Publisher: IEEE
Citation: D. Ranaweera, C. Athalage, M. S. Virajamana, C. Kaveesha, D. De Silva and H. De Silva, "Assisting Wheelchair: Assist W," TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), 2021, pp. 128-133, doi: 10.1109/TENCON54134.2021.9707221.
Series/Report no.: TENCON 2021-2021 IEEE Region 10 Conference (TENCON);Pages 128-133
Abstract: Traditional wheelchairs used by disabled people are required to be controlled manually. Hence, continuous monitoring and assistance of a caretaker is a mandatory requirement. This paper introduces an autonomous assisting wheelchair - Assist W, which would facilitate disabled people to do their day-to-day activities independently in a very safe manner, thereby managing their mental and physical health. Assist W can scan the location and design a 2D map of the house using SLAM algorithm and LIDAR sensor. After generating the map, Assist W is able to move automatically according to the commands (Voice and touch) given by the user, with the help of the map data. There is an AR (Augmented Reality) chat-bot that acts as a good companion to manage the mental health of the disabled person. Assist W is also able to manage the security and physical health of the disabled person by providing a fall detection system and automatic lifting system, and sending emergency alerts to the caretakers. This system was tested using simulation.
URI: http://rda.sliit.lk/handle/123456789/1982
ISSN: 2159-3450
Appears in Collections:Department of Computer Science and Software Engineering-Scopes
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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