Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1982
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRanaweera, D-
dc.contributor.authorAthalage, C-
dc.contributor.authorSri Virajamana, M-
dc.contributor.authorKaveesha, C-
dc.contributor.authorDe Silva, D. I-
dc.contributor.authorDe Silva, H-
dc.date.accessioned2022-04-19T10:16:08Z-
dc.date.available2022-04-19T10:16:08Z-
dc.date.issued2021-12-07-
dc.identifier.citationD. 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.en_US
dc.identifier.issn2159-3450-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1982-
dc.description.abstractTraditional 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.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesTENCON 2021-2021 IEEE Region 10 Conference (TENCON);Pages 128-133-
dc.subjectAssisting Wheelchairen_US
dc.subjectAssist Wen_US
dc.titleAssisting Wheelchair: Assist Wen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TENCON54134.2021.9707221en_US
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

Files in This Item:
File Description SizeFormat 
Assisting_Wheelchair_Assist_W.pdf
  Until 2050-12-31
615.1 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.