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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Maksimenko, Vladimir Grubov, Vadim Innopolis University Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (纸本)9781728187631

We developed noninvasive brain-to-brain interface for dynamical redistribution of cognitive load between subjects according to their current performances during shared cognitive task. As a result, a participant who exhibits higher cognitive performance is subjected to a higher workload, while his/her partner receives a lower workload. We demonstrate that dynamical workload redistribution allows to increase overall cognitive performance in the pair of interacting subjects. © 2020 IEEE.

关键词： brain-to-brain interface cognitive load cognitive performance cognitive resource electroencephalogram

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Approach of Flow Control Around Unmanned Underwater Robot

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IFAC-PapersOnLine 2018年第30期51卷 452-457页

作者： Galushko, Ilya D. Salmina, Vera A. Gafurov, Salimzhan A. Stadnik, Dmitry M. Samara National Research University Samara443086 Russia Saara National Research University Samara443086 Russia Innopolis University Center for Technologies of Robotics and Mechatronics Components Innopolis420500 Russia

The development of a prototype of an underwater robot with a variable geometry of the body is a major complex task, including a whole series of tasks of a scientific, technical, engineering and applied nature, and the creation of new automatic systems for managing it. The creation of such a robot will ensure its high autonomy and maneuverability. In this paper, the development of a solid model of a biomimetic robot hybrid and AUV with a variable geometry of the hull is presented. Also presented is a basic pneumatic circuit integrated into the robot body, which drives the pneumatic muscles fixed to the ribs of the robot's robust body. The experimental part includes the investigation of the vertical and horizontal components of the deformation of the walls of the shell, depending on the pressure supplied by the pneumatic system to the pneumatic cusps. © 2016

关键词： Robots Biomimetics Geometry Pneumatic control Pneumatic equipment Pneumatics Anisotropic bodies Automatic systems Bio mimetic robot Horizontal components Pneumatic muscle Underwater robotics Underwater robots Variable geometry

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Vulnerabilities in the vehicle's electronic network equipped with ADAS system 3

Vulnerabilities in the vehicle's electronic network equipped...

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3rd School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2019

作者： Kurbanov, Arthur Grebennikov, Sergey Gafurov, Salimzhan Klimchik, Alexandr Laboratory of Autonomous Transport System Innopolis University Innopolis Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728124704

Modern vehicles are distributed systems with numerous Electronic Control Units (ECUs) communicating with each other by means of the standard protocol known as Controller Area Network (CAN-Bus). Such architecture is a basis for Advanced Driver-Assistance Systems (ADAS). ADAS is supposed to take driver's tasks consistently pushing people out of the driving process and decreasing of driver's stress load. Potentially it will result in increasing of vehicles functionality and overall safety on the roads. However, such CAN-bus as a base of ADAS system has a number of significant security limitations. This, the security of such systems plays an important role in their design and operation. This paper gives a brief overview of publications in the field of ADAS systems security. We have conducted a number of experiments on a real car to estimate its vulnerabilities for possible attacks. This article shows how an ADAS-equipped vehicle gives attackers the opportunity to gain control over its critical modules. © 2019 IEEE.

关键词： Advanced driver assistance systems

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Features of real and imaginary human motor activity with EEG and fNIRS

Features of real and imaginary human motor activity with EEG...

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Grubov, Vadim Badarin, Artem Frolov, Nikita Pitsik, Elena Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognitive Technology Lab Russia

ISBN: (纸本)9781728187631

Experimental design for recording of EEG and fNIRS during performance of real and imaginary movement was proposed. Set of experiments was conducted in accordance with this design and obtained EEG and fNIRS dataset was analyzed. Analysis allowed to introduce certain features in time-frequency domain that can be used to separate real motor activity from motor imagery. © 2020 IEEE.

关键词： Electroencephalography

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Analysis of information perception and processing during long-term and intense cognitive load using combined EEG and NIRS

Analysis of information perception and processing during lon...

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Grubov, Vadim Badarin, Artem Maksimenko, Vladimir Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognitive Technology Laboratory Russia

ISBN: (纸本)9781728187631

This work is devoted to the analysis of information perception and processing during long-term and intense cognitive load using combined EEG + NIRS. We consider changes in the reaction time during long-term and intense cognitive load and a comparison of brain activity with behavioral characteristics. We found the establishment of a characteristic mode in the brain corresponding to a routine cognitive task. © 2020 IEEE.

关键词： Brain

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Cognitive interaction during a collaborative attentional task 3

Cognitive interaction during a collaborative attentional tas...

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3rd School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2019

作者： Maksimenko, Vladimir Grubov, Vadim Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components University Innopolis Russia

ISBN: (纸本)9781728124704

The modern trend in neuroscience and engineering is the developing systems allowing increase human physical and cognitive abilities through human-machine interaction. In these systems the human's condition is controlled by a brain-computer interface and assistance is activated when cognitive (or physical) performance decreases. In the current paper we consider the system, where the human's cognitive performance is enhanced due to cognitive interaction with another human. The proposed interface was tested at experimental sessions, in which the subjects were asked for a long time to solve the problem of classification of ambiguous visual stimuli of varying complexity. The proposed interface allows to increase the average productivity of a group of people due to the distribution of cognitive load between all participants. © 2019 IEEE.

关键词： Brain computer interface

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Analysis of EEG spectral amplitudes during ambiguous information processing 4

Analysis of EEG spectral amplitudes during ambiguous informa...

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4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2020

作者： Kuc, Alexander Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Republic of Tatarstan Russia

We analyzed the dynamics of EEG spectral amplitudes in a- A nd ß-frequency bands during ambiguous visual stimuli processing. As a result, we described differences in the cortical activity during the processing of... 详细信息

ISBN: (纸本)9781728172866

关键词： Wavelet transforms

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Spatio-temporal EEG activity in cortical network during visual percetion task

Spatio-temporal EEG activity in cortical network during visu...

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Kuc, Alexander Malova, Natalija Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognivite Technology Laboratory Saratov Russia

ISBN: (纸本)9781728187631

A promising task is the analysis of the different rhythms of the brain cortical activity when performing cognitive tasks. Studying this issue allows to advance in the development of brain-computer interfaces. Some brain rhythms show certain dynamics during various cognitive activities. An important rhythm associated with cognitive activity is the alpha rhythm. In this paper, we study features of the dynamics of the alpha rhythm during bistable visual processing of information of varying complexity. © 2020 IEEE.

关键词： Brain

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Highest performance requires an optimal effort: A MEG study on visual perception 4

Highest performance requires an optimal effort: A MEG study ...

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4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2020

作者： Chholak, Parth Pisarchik, Alexander N. Technical University of Madrid Centre for Biomedical Technology Madrid Spain Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728172866

Twelve subjects (6 males;17-64 years) participated in magnetoencephalography (MEG) experiments designed to study visual response to flickering Necker cubes. Event-related fields in the lateral occipital complex and steady-state response in the visual region V1 and V2 were studied to characterise the early response time durations and attentional capacity during the trial time period of 5-s, respectively. We found that there was an optimal response time duration for which the attention capacity was maximum. The results also support the hypothesis that stimulus detection in brain is driven by coherence resonance. © 2020 IEEE.

关键词： Magnetoencephalography

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Modern research on the primary school children brain functioning in the learning process 4

Modern research on the primary school children brain functio...

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4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2020

作者： Bukina, Tatyana V. Khramova, Marina V. Kurkin, Semen Saratov State University Department of Information Systems and Educational Technologies Saratov Russia Innopolis University Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (纸本)9781728172866

The article deals with research related to the study of the primary school children's brain activity in the educational process: The prevalence of such research, the definition of the scientists' activities main directions on the topic and their chosen approaches to research. Conclusions about the need for further study of this issue are presented. © 2020 IEEE.

关键词： Brain

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