Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/6922
Title: | Extending a smart wheelchair navigation by stress sensors |
Author: | Urbano, Maria Margarida Fonseca, José Nunes, Urbano Zeilinger, Heimo |
Keywords: | Assisted powered wheelchair People with severe impairments Navigation decision Stress detection system Stage |
Issue Date: | 24-Oct-2011 |
Abstract: | This paper discusses the adaptation of a novel bionic approach of AI to an Assisted Powered Wheelchair (APW) controller, in order to facilitate its driving by people with severe impairments. The control unit offers three modes of operation and this proposal refers to the second control that assists the wheelchair user in driving tasks like passing a door or avoiding obstacles. The user’s psychic condition is considered in the APW navigation decision and it is determined by a stress detection system composed by electrocardiogram and skin conductance sensors. The control unit has to deal with environmental and stress data and must trigger actuating commands. The prototype implementation will be done within the platform STAGE and afterwards it will be embedded in a real powered wheelchair. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/6922 |
DOI: | 10.1109/ETFA.2011.6059222 |
ISSN: | 1946-0740 |
Appears in Collections: | ESTGA - Comunicações PT Bicicleta e Mobilidade Suave - Comunicações |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Extending a Smart Wheelchair Navigation by Stress Sensors.PDF | documento principal | 164.27 kB | Adobe PDF |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.