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Open AccessArticle

A 20-Questions-Based Binary Spelling Interface for Communication Systems

Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076 Tübingen, Germany
Wyss-Center for Bio- and Neuro-Engineering, 1202 Geneva, Switzerland
Author to whom correspondence should be addressed.
Brain Sci. 2018, 8(7), 126;
Received: 11 June 2018 / Revised: 28 June 2018 / Accepted: 30 June 2018 / Published: 2 July 2018
(This article belongs to the Special Issue Brain-Computer Interfaces for Human Augmentation)
Brain computer interfaces (BCIs) enables people with motor impairments to communicate using their brain signals by selecting letters and words from a screen. However, these spellers do not work for people in a complete locked-in state (CLIS). For these patients, a near infrared spectroscopy-based BCI has been developed, allowing them to reply to “yes”/”no” questions with a classification accuracy of 70%. Because of the non-optimal accuracy, a usual character-based speller for selecting letters or words cannot be used. In this paper, a novel spelling interface based on the popular 20-questions-game has been presented, which will allow patients to communicate using only “yes”/”no” answers, even in the presence of poor classification accuracy. The communication system is based on an artificial neural network (ANN) that estimates a statement thought by the patient asking less than 20 questions. The ANN has been tested in a web-based version with healthy participants and in offline simulations. Both results indicate that the proposed system can estimate a patient’s imagined sentence with an accuracy that varies from 40%, in the case of a “yes”/”no” classification accuracy of 70%, and up to 100% in the best case. These results show that the proposed spelling interface could allow patients in CLIS to express their own thoughts, instead of only answer to “yes”/”no” questions. View Full-Text
Keywords: brain computer interface; complete locked-in state; communication; Artificial Neural Network; 20-questions-game brain computer interface; complete locked-in state; communication; Artificial Neural Network; 20-questions-game
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Tonin, A.; Birbaumer, N.; Chaudhary, U. A 20-Questions-Based Binary Spelling Interface for Communication Systems. Brain Sci. 2018, 8, 126.

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