@inproceedings{0e2201b696b4485c9f66c7d7b81a4580,
title = "Brain-Computer Interface Humanoid Pre-trained for Interaction with People",
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.",
keywords = "bci, brain-computer interface, Gaussian-mixture models, human-robot interfaction, humanoid, logistic regression, machine learning, p300, pbd, programming by demonstration, telepresence",
author = "Batyrkhan Saduanov and Dana Tokmurzina and Tohid Alizadeh and Berdakh Abibullaev",
note = "Publisher Copyright: {\textcopyright} 2018 Authors.; 13th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2018 ; Conference date: 05-03-2018 Through 08-03-2018",
year = "2018",
month = mar,
day = "1",
doi = "10.1145/3173386.3177080",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE Computer Society",
pages = "229--230",
booktitle = "HRI 2018 - Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}
