Time domain classification of grasp and hold tasks

Andreas Schwarz

doi:DOI: 10.3217/978-3-85125-467-9-76

Time domain classification of grasp and hold tasks

Andreas Schwarz

Institute of Neural Engineering (7090)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Brain-Computer Interfaces (BCIs) enable its users to interact with their environment only by thought. Earlier studies indicated [1, 2] that BCI might be a suitable method for controlling a neuroprostheses, which could assist people with spinal cord injuries (SCI) in their daily life. One drawback for the end user is that only simple motor imaginations (MI) are available for control e.g. MI of both feet to control ones arm is abstract and in contradiction to an associated natural movement. Therefore we are looking for means to design a more natural control modality. One promising scenario would be to use MI of different grasps to actually control different grasps of the neuroprosthesis. In this study we attempt to classify the execution of different grasp types in low-frequency time-domain EEG signals.

Original language	English
Title of host publication	Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present and Future
Editors	Gernot R. Müller-Putz, Jane E. Huggins, David Steyrl
Publisher	Verlag der Technischen Universität Graz
Pages	76
Number of pages	1
Volume	6
ISBN (Print)	978-3-85125-467-9
DOIs	https://doi.org/DOI: 10.3217/978-3-85125-467-9-76
Publication status	Published - 1 Jun 2016
Event	6th International Brain-Computer Interface Meeting 2016 - Pacific Grove, California, Asilomar Conference Center, United States Duration: 30 May 2016 → 3 Jun 2016

Conference

Conference	6th International Brain-Computer Interface Meeting 2016
Country/Territory	United States
City	Asilomar Conference Center
Period	30/05/16 → 3/06/16

Fields of Expertise

Human- & Biotechnology

Access to Document

DOI: 10.3217/978-3-85125-467-9-76

Cite this

Time domain classification of grasp and hold tasks. / Schwarz, Andreas.
Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present and Future. ed. / Gernot R. Müller-Putz; Jane E. Huggins; David Steyrl. Vol. 6 Verlag der Technischen Universität Graz, 2016. p. 76.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Schwarz, A 2016, Time domain classification of grasp and hold tasks. in GR Müller-Putz, JE Huggins & D Steyrl (eds), Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present and Future. vol. 6, Verlag der Technischen Universität Graz, pp. 76, 6th International Brain-Computer Interface Meeting 2016, Asilomar Conference Center, United States, 30/05/16. https://doi.org/DOI: 10.3217/978-3-85125-467-9-76

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Time domain classification of grasp and hold tasks

Abstract

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