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 (BCI) 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 ten healthy users who were already familiar with the environment.

Published in:
Proceedings of the IEEE, 103, 6, 969-982
Piscataway, Ieee-Inst Electrical Electronics Engineers Inc

Note: The status of this file is: EPFL only

 Record created 2015-04-27, last modified 2018-03-18

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