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A novel task-oriented brain computer interface for human-robot interaction
Conference paper   Peer reviewed

A novel task-oriented brain computer interface for human-robot interaction

Anthony Zeater, Ali Haydar Goktogan, Ulrich Engelke, Eleana Papagiannopoulou and Jim Lagopoulos
Australasian Conference on Robotics and Automation 2015 Conference Proceedings
Australasian Conference on Robotics and Automation 2015 (Canberra, Australia, 02-Dec-2015–04-Dec-2015)
Australian Robotics & Automation Association
2015
url
http://www.araa.asn.au/acra/acra2015/papers/pap165.pdfView
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Abstract

Clinical Sciences Information Systems
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 highlight the desire for more natural human computer interactions. A Brain-Computer Interface (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 implementation for controlling a robotic arm using a P300 Speller interface is presented, with particular focus on solving high order problems with task specific commands. The system was validated 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%.

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