NDLI: Virtual hand prosthesis moved by encephalographic signals

Content Provider	IEEE Xplore Digital Library
Author	Karin, C.A. Andres, V.A.
Copyright Year	2014
Description	Author affiliation: Electron. Eng. Fac., Univ. of Cauca, Popayan, Colombia (Karin, C.A.; Andres, V.A.)
Abstract	This paper presents a research project that has the challenge of manipulating a prosthetic hand in a virtual simulation environment using a natural interface based on a BCI (Brain Computer Interface), which should propose a new paradigm for the manipulation of a prosthetic hand. The information provided by encephalographic (EEG) signals captured from an Emotiv® headset is used for the manipulation of a virtual hand prosthesis. This system has fourteen electrodes distributed over the skull of the user, who after a training phase can produce simple commands through the manufacturer's software. Finally, this research presents the results obtained so far, where the user's encephalographic signals move a virtual hand built in the computer (using free software tools as Qt and VTK). It is expected that the user can train and reproduce various grasps such as cylindrical, spherical and pincer grasp in the virtual hand.
Starting Page	1
Ending Page	5
File Size	446119
Page Count	5
File Format	PDF
e-ISBN	9781479979325
DOI	10.1109/CIIMA.2014.6983440
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	Colombia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Headphones Brain-computer interface Encephalographic signals Natural interface Muscles Electroencephalography Brain-computer interfaces Robots Prosthetic hand Robotic prosthetic hand
Content Type	Text
Resource Type	Article

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