Time domain classification of grasp and hold tasks

Andreas Schwarz

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.
Originalspracheenglisch
TitelProceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present and Future
Redakteure/-innenGernot R. Müller-Putz, Jane E. Huggins, David Steyrl
Herausgeber (Verlag)Verlag der Technischen Universität Graz
Seiten76
Seitenumfang1
Band6
ISBN (Print)978-3-85125-467-9
DOIs
PublikationsstatusVeröffentlicht - 1 Juni 2016
Veranstaltung6th International Brain-Computer Interface Meeting 2016 - Pacific Grove, California, Asilomar Conference Center, USA / Vereinigte Staaten
Dauer: 30 Mai 20163 Juni 2016

Konferenz

Konferenz6th International Brain-Computer Interface Meeting 2016
Land/GebietUSA / Vereinigte Staaten
OrtAsilomar Conference Center
Zeitraum30/05/163/06/16

Fields of Expertise

  • Human- & Biotechnology

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