Detection of Imagery Vowel Speech Using Deep Learning-Reference-Cited by-同舟云学术

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Detection of Imagery Vowel Speech Using Deep Learning

Published:2021-07-28 Issue: Volume: Page:237-247
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Patel Jigar,Umar Syed Abudhagir

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1476-7_23

Reference26 articles.

1. Wolpaw JR (2010) Brain–computer interface research comes of age: traditional assumptions meet emerging realities. J Motor Behav 42(6):351–353

2. Allison B (2007) The I of BCIs: next generation interfaces for brain–computer interface systems that adapt to individual users. In: International conference on human-computer interaction. Springer, Berlin, Heidelberg, pp 558–568

3. Birbaumer N, Cohen LG (2007) Brain–computer interfaces: communication and restoration of movement in paralysis. J Physiol 579(3):621–636

4. Hwang HJ, Kim S, Choi S, Im CH (2013) EEG-based brain-computer interfaces: a thorough literature survey. Int J Hum-Comput Interact 29(12):814–826

5. Pfurtscheller G, Brunner C, Schlögl A, Da Silva FL (2006) Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks. Neuroimage 31(1):153–159

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