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A novel task-oriented brain computer interface for human-robot interaction
Citation
Zeater, A and Goktogan, AH and Engelke, U and Papagiannopoulou, E and Lagopoulos, J, A novel task-oriented brain computer interface for human-robot interaction, Proceedings of the Australasian Conference on Robotics and Automation 2015, 02-04 December 2015, Canberra, pp. 1-10. ISBN 978-0-9807404-6-2 (2015) [Refereed Conference Paper]
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Official URL: http://www.araa.asn.au/conferences/acra-2015/
Abstract
Since the advent of the technology age, new
and innovative ways to communicate with and
control machines have been gaining momentum
over traditional forms of input. The rise of
touch, gesture and speech based control high-
light the desire for more natural human com-
puter interactions. A Brain-Computer Inter-
face (BCI) is an extension of these interaction
methods; allowing a user's brain activity to be
interpreted as an input into a computer system.
In this paper, a successful and novel implemen-
tation for controlling a robotic arm using a P-
300 Speller interface is presented, with partic-
ular focus on solving high order problems with
task specic commands. The system was val-
idated through a packing experiment, where a
participant needed to pick and place scattered
objects into a container. Initial results show
successful completion of the task within four
minutes, with a command selection accuracy of
approximately 97%.
Item Details
Item Type: | Refereed Conference Paper |
---|---|
Keywords: | human robot interaction, computer interface |
Research Division: | Information and Computing Sciences |
Research Group: | Artificial intelligence |
Research Field: | Intelligent robotics |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the environmental sciences |
UTAS Author: | Engelke, U (Dr Ulrich Engelke) |
ID Code: | 121552 |
Year Published: | 2015 |
Deposited By: | Engineering |
Deposited On: | 2017-10-03 |
Last Modified: | 2017-11-16 |
Downloads: | 0 |
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