Literature DB >> 12899249

Use of the evoked potential P3 component for control in a virtual apartment.

Jessica D Bayliss1.   

Abstract

Virtual reality (VR) may prove useful for training individuals to use a brain-computer interface (BCI). It could provide complex and controllable experimental environments during BCI research and development as well as increase user motivation. In the study reported here, we examined the robustness of the evoked potential P3 component in virtual and nonvirtual environments. We asked subjects to control several objects or commands in a virtual apartment. Our results indicate that there are no significant differences in the P3 signal between subjects performing a task while immersed in VR versus subjects looking at a computer monitor. This indicates the robustness of the P3 signal over different environments. For an online control task, the performance in a VR environment was not significantly different from performance when looking at a computer monitor. There was, however, a more significant result when the subject's head view of the virtual world was fixed (p < 0.05) when compared with looking at a computer monitor. We also found that subjects' self-reported qualitative experiences did not necessarily match their objective performance. Six out of nine subjects liked the VR environment better, but only one of these subjects performed the best in this environment. The possible ramifications of this, as well as plans for future work, are discussed.

Mesh:

Year:  2003        PMID: 12899249     DOI: 10.1109/TNSRE.2003.814438

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  20 in total

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Authors:  Yasunari Hashimoto; Junichi Ushiba; Akio Kimura; Meigen Liu; Yutaka Tomita
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5.  A procedure for measuring latencies in brain-computer interfaces.

Authors:  J Adam Wilson; Jürgen Mellinger; Gerwin Schalk; Justin Williams
Journal:  IEEE Trans Biomed Eng       Date:  2010-04-15       Impact factor: 4.538

6.  Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments.

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Journal:  J Med Syst       Date:  2015-11-07       Impact factor: 4.460

7.  Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

Authors:  J D R Millán; R Rupp; G R Müller-Putz; R Murray-Smith; C Giugliemma; M Tangermann; C Vidaurre; F Cincotti; A Kübler; R Leeb; C Neuper; K-R Müller; D Mattia
Journal:  Front Neurosci       Date:  2010-09-07       Impact factor: 4.677

8.  Towards intelligent environments: an augmented reality-brain-machine interface operated with a see-through head-mount display.

Authors:  Kouji Takano; Naoki Hata; Kenji Kansaku
Journal:  Front Neurosci       Date:  2011-04-20       Impact factor: 4.677

9.  Steering a tractor by means of an EMG-based human-machine interface.

Authors:  Jaime Gomez-Gil; Israel San-Jose-Gonzalez; Luis Fernando Nicolas-Alonso; Sergio Alonso-Garcia
Journal:  Sensors (Basel)       Date:  2011-07-11       Impact factor: 3.576

10.  Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic.

Authors:  Robert Leeb; Doron Friedman; Gernot R Müller-Putz; Reinhold Scherer; Mel Slater; Gert Pfurtscheller
Journal:  Comput Intell Neurosci       Date:  2007
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