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MindLogger: a brain-computer interface for word building using brainwaves

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Ani NahapetianAuthors Info & Claims

MMA '14: Proceedings of the 1st Workshop on Mobile Medical Applications

Pages 6 - 11

https://doi.org/10.1145/2676431.2676434

Published: 03 November 2014 Publication History

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Abstract

In this paper, we collect electrical signals emitted from the brain during its normal function, specifically from a single electrode placed over the frontal lobe of the brain, to provide an interface for communication without any physical movement. The systems intended audience includes stroke victims and people with paralysis and other advanced neurologic impairments. The presented MindLogger system is a practical, cost-effective, and noninvasive solution that enables people to select letters, compile words, and create sentences by employing only their electroencephalogram (EEG) activity, alongside existing capabilities in mobile computing.

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Klein AClucas JKrishnakumar AGhosh SVan Auken WThonet BSabram IAcuna NKeshavan ARossiter HXiao YSemenuta SBadioli AKonishcheva KAbraham SAlexander LMerikangas KSwendsen JLindner AMilham M(2020)Remote Digital Psychiatry: MindLogger for Mobile Mental Health Assessment and Therapy (Preprint)Journal of Medical Internet Research10.2196/22369Online publication date: 16-Nov-2020
https://doi.org/10.2196/22369
Garcia GNahapetian ANilsen WStankovic J(2015)Wearable computing for image-based indoor navigation of the visually impairedProceedings of the conference on Wireless Health10.1145/2811780.2811959(1-6)Online publication date: 14-Oct-2015
https://dl.acm.org/doi/10.1145/2811780.2811959

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MindLogger: a brain-computer interface for word building using brainwaves

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MMA '14: Proceedings of the 1st Workshop on Mobile Medical Applications

November 2014

46 pages

ISBN:9781450331906

DOI:10.1145/2676431

Conference Chair:
Ayan Banerjee
Arizona State University
,
General Chair:
Sandeep K. S. Gupta
Arizona State University

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Published: 03 November 2014

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SenSys '14: The 12th ACM Conference on Embedded Network Sensor Systems

November 3 - 6, 2014

Tennessee, Memphis

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Klein AClucas JKrishnakumar AGhosh SVan Auken WThonet BSabram IAcuna NKeshavan ARossiter HXiao YSemenuta SBadioli AKonishcheva KAbraham SAlexander LMerikangas KSwendsen JLindner AMilham M(2020)Remote Digital Psychiatry: MindLogger for Mobile Mental Health Assessment and Therapy (Preprint)Journal of Medical Internet Research10.2196/22369Online publication date: 16-Nov-2020
https://doi.org/10.2196/22369
Garcia GNahapetian ANilsen WStankovic J(2015)Wearable computing for image-based indoor navigation of the visually impairedProceedings of the conference on Wireless Health10.1145/2811780.2811959(1-6)Online publication date: 14-Oct-2015
https://dl.acm.org/doi/10.1145/2811780.2811959

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An SSVEP-Based Brain-Computer Interface to Navigate in a Virtual Home

Development of Brainwave Balancing Index Using EEG

Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals

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An SSVEP-Based Brain-Computer Interface to Navigate in a Virtual Home

Development of Brainwave Balancing Index Using EEG

Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals

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