Conference proceedings

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Browsing Conference proceedings by Subject "Brain-Computer Interfaces"

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    Brain-Computer Interface Humanoid Pre-trained for Interaction with People
    (Nazarbayev University School of Science and Technology, 2018-03-08) Saduanov, Batyrkhan; Tokmurzina, Dana; Alizadeh, Tohid; Abibullaev, Berdakh
    People with the disabilities are in need to have an assistive technology that will alleviate their life through improving its social aspects. This article presents a Brain-Computer Interface (BCI) based remote presence system for humanoid NAO robot. The system would be useful for partially or fully paralyzed patients to interact with people and live active social life. A P300 based BCI is used to control high-level desires of the humanoid and visual stimulus presentation is implemented to control a humanoid robot. ”Programming by Demonstration (PbD)” methods are used to train the robot to perform human interactive actions and NAO robot native speller is used to talk with people. In general, the proposed solution combines two major techniques: Programming by demonstration and BCI. An experiment is designed and conducted on 5 different healthy subjects to perform a handshake, waving, walking and etc., verifying the applicability of the proposed approach.
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    Trained by Demonstration Humanoid Robot Controlled via a BCI system for Telepresence
    (Nazarbayev University School of Science and Technology, 2018-01-15) Saduanov, Batyrkhan; Alizadeh, Tohid; Abibullaev, Berdakh; An, Jinung
    Onerous life of paralyzed people is a substantial problem of the world society and improving their life quality would be a great achievement. This paper proposes a solution in this regard based on telepresence, where a patient perceives and interacts with a world through an embodiment of a robot controlled by a Brain-Computer Interface (BCI) system. The proposed approach brings together two leading techniques: Programming by Demonstration and BCI. Several tasks could be learned by the robot observing someone performing the function. The end user would issue commands to the robot, using a BCI system, concerning its movement and the tasks to be performed. An experiment is designed and conducted, verifying the applicability of the proposed approach.