Brain-Computer Interface Humanoid Pre-trained for Interaction with People

Batyrkhan Saduanov, Dana Tokmurzina, Tohid Alizadeh, Berdakh Abibullaev

2018

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DOI 10.1145/3173386.3177080
Data confidence 70 medium
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Abstract

This study presents a Brain-Computer Interface (BCI) based remotepresence system for humanoid NAO robot. The system would beuseful for partially or fully paralyzed patients to interact with peo-ple and live active social life. A P300 based BCI is used to controlhigh-level desires of the humanoid and visual stimulus presenta-tion is implemented to control a humanoid robot. "Programmingby Demonstration (PbD)" methods are used to train the robot toperform human interactive actions and NAO robot native speller isused to talk with people. In general, the proposed solution combinestwo major techniques: Programming by demonstration and BCI. Anexperiment is designed and conducted on 5 different healthy sub-jects to perform a handshake, waving, walking and etc., verifyingthe applicability of the proposed approach.