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Towards independence: a BCI telepresence robot for people with severe motor disabilities

This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces to harness the power of the Internet of Things. We analyze the stability of brain signals as end-users with motor disabilities progress from...

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Main Authors: Leeb, Robert (Author) , Tonin, Luca (Author) , Rohm, Martin (Author) , Desideri, Lorenzo (Author) , Carlson, Tom (Author) , Millán, José del R. (Author)
Format: Article (Journal)
Language:English
Published: May 18, 2015
In: Proceedings of the IEEE
Year: 2015, Volume: 103, Issue: 6, Pages: 969-982
ISSN:1558-2256
DOI:10.1109/JPROC.2015.2419736
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1109/JPROC.2015.2419736
Verlag, lizenzpflichtig, Volltext: https://ieeexplore.ieee.org/document/7109829
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Author Notes:Robert Leeb, Luca Tonin, Martin Rohm, Lorenzo Desideri, Tom Carlson, and José del R. Millán
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Summary:This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces to harness the power of the Internet of Things. We analyze the stability of brain signals as end-users with motor disabilities progress from performing simple standard on-screen training tasks to interacting with real devices in the real world. Furthermore, we demonstrate how the concept of shared control-which interprets the user's commands in context-empowers users to perform rather complex tasks without a high workload. We present the results of nine end-users with motor disabilities who were able to complete navigation tasks with a telepresence robot successfully in a remote environment (in some cases in a different country) that they had never previously visited. Moreover, these end-users achieved similar levels of performance to a control group of 10 healthy users who were already familiar with the environment.
Item Description:Date of current version: May 29, 2015
Gesehen am 15.06.2020
Physical Description:Online Resource
ISSN:1558-2256
DOI:10.1109/JPROC.2015.2419736

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