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检索条件"机构=Center for Technologies in Robotics and Mechatronics Components"

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Deep Learning Approach for Building Detection in Satellite Multispectral Imagery

Deep Learning Approach for Building Detection in Satellite M...

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International IEEE Conference on Intelligent Systems, IS

作者： Geesara Prathap Ilya Afanasyev Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Institute of Robotics Innopolis University Innopolis Russia

ISBN: (纸本)9781538670989;9781538670972

Building detection from satellite multispectral imagery data is being a fundamental but a challenging problem mainly because it requires correct recovery of building footprints from high-resolution images. In this work, we propose a deep learning approach for building detection by applying numerous enhancements throughout the process. Initial dataset is preprocessed by 2-sigma percentile normalization. Then data preparation includes ensemble modelling where 3 models were created while incorporating OpenStreetMap data. Binary Distance Transformation (BDT) is used for improving data labeling process and the U-Net (Convolutional Networks for Biomedical Image Segmentation) is modified by adding batch normalization wrappers. Afterwards, it is explained how each component of our approach is correlated with the final detection accuracy. Finally, we compare our results with winning solutions of SpaceNet 2 competition for real satellite multispectral images of Vegas, Paris, Shanghai and Khartoum, demonstrating the importance of our solution for achieving higher building detection accuracy.

关键词： Buildings Image resolution Training Labeling Satellite broadcasting Data models Image segmentation

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Analysis of behavioral characteristics during prolonged cognitive load 5

Analysis of behavioral characteristics during prolonged cogn...

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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021

作者： Kuc, Alexander Grubov, Vadim Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Center of New Cardiological Informational Technologies Scientific Research Institute of Cardiology Saratov State Medical University Saratov Russia

ISBN: (纸本)9781665442824

In the present work we studied human behavioral characteristics during prolonged cognitive activity. For this purpose we conducted experiment with interpretation of consistently presented ambiguous visual stimuli with different levels of ambiguity. As behavioral characteristic we chose the correctness of ambiguous stimuli interpretation and we showed, that number of errors changes significantly through the experiment. © 2021 IEEE

关键词： Behavioral research

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Database for storing and organizing data of neurophysiological experiments: description and basic functionality

Database for storing and organizing data of neurophysiologic...

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School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

作者： Elena Pitsik Semen Kurkin Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

In present paper, we introduce a database containing multichannel experimental data of brain electrical activity (M/EEG signals) supplemented by necessary experimental protocols and additional characteristics of the subject (ECG, EOG, EMG, etc.), as well as the results of various processing methods application to the initial data. Data management and access is implemented with web-interface containing the toolkit for viewing and editing existing data and adding new items. Developed database provides increased level of data storage reliability and instant access to the neurophysiological data for analysis, processing and evaluation of accumulated experimental information.

关键词： Databases Electroencephalography Neuroscience Servers Physics Robots Brain

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Classification of hand-related real and imaginary motor activity with fNIRS

Classification of hand-related real and imaginary motor acti...

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School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

作者： Alexander Hramov Vadim Grubov Artem Badarin Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

In the present work we studied blood oxygenation/deoxygenation spatial dynamics related to real and imaginary motor activity using functional near-infrared spectroscopy (fNIRS). We revealed biomarkers based on pronounced hemispheric lateralization of hemodynamical response in the motor cortex during motor activity. We used these markers to design a sensing method for classification of movement's type. The accuracy of real movements classification was close to 100%, while for imaginary movements it was lower but still quite high (about 90%). The proposed system can find application, for example, in neurorehabilitation after severe brain injuries, including traumas and strokes.

关键词： Brain Brain-computer interfaces Hemodynamics Neuroscience Electroencephalography Robots mechatronics

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Estimating elementary cognitive functions based on EEG signals analysis

Estimating elementary cognitive functions based on EEG signa...

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School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

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

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

Human performance in complex mental tasks relies on elementary cognitive abilities, e.g., information processing speed and working memory capacity. These elementary functions can be measured on a behavioral level using elementary tasks, e.g., reaction time and memory scanning tasks. Cognitive and behavioral neuroscience aims to reveal cortical activity features underlying human performance in the elementary cognitive tasks. In this work, we designed a reaction time task based on the processing of ambiguous sensory stimuli. We found a correlation between the task performance on the behavioral level and the sensor-level cortical activity.

关键词： Electroencephalography Task analysis Neuroscience Correlation Robots mechatronics Information processing

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Space-charge-limited current in an external magnetic field

Space-charge-limited current in an external magnetic field

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School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

作者： Artem Badarin Semen Kurkin Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

This work is devoted to the study of one of the fundamental properties of the beam, namely, space-charge-limited current in a cylindrical drift tube located in an external magnetic field of various intensities. The value of the external magnetic field is determined for different beam energies, at which a sharp change in the critical current and beam dynamics occurs.

关键词： Electron beams Critical current density (superconductivity) Cathodes Plasmas Electron tubes Microwave photonics

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Stiffness analysis of parallel manipulator navaro with dual actuation modes

Stiffness analysis of parallel manipulator navaro with dual ...

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2018 International Russian Automation Conference, RusAutoCon 2018

作者： Klimchik, Alexandr Pashkevich, Anatol Chablat, Damien Innopolis University Center for Technologies in Robotics and Mechatronics Components Innopolis Russia IMT Atlantique Automation Production and Computer Sciences Nantes France LS2N Centre National de la Recherche Scientifique Nantes France

ISBN: (纸本)9781538649381

The paper deals with enhanced stiffness analysis of the NaVaRo robot, a three-degree-of-freedom planar parallel manipulator with variable actuation schemes that are switched from one to another in order to avoid kinematic singularities. The main scientific contribution is in the area of extension of classical MSA technique for the case of complex open-loop and closed-loop manipulators. The proposed approach produces the Cartesian stiffness matrices and presents the manipulator stiffness model as a set of conventional equations describing the link elasticities that are supplemented by a set of constraints describing connections between links. The main advantage is computational simplicity that straightforwardly aggregates the stiffness model equations avoiding traditional column/row merging procedures of the conventional MSA. The efficiency of this approach is illustrated by comparison analysis of NaVaRo manipulator for different actuation modes. © 2018 IEEE.

关键词： Stiffness

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Cognitive interaction via a brain-to-brain interface

Cognitive interaction via a brain-to-brain interface

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Nonlinearity, Information and robotics, (NIR) International Conference

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

ISBN: (数字)9781728187631

ISBN: (纸本)9781728187648

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.

关键词： Training Systematics Task analysis Robots

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Real-time static custom gestures recognition based on skeleton hand

Real-time static custom gestures recognition based on skelet...

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Nonlinearity, Information and robotics, (NIR) International Conference

作者： Alexander Osipov Mikhail Ostanin Innopolis University Innopolis Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781665424080

Gesture recognition is one of the natural ways of human-computer interaction (HCI) that will positively affect their use. This paper presents an approach for real-time static gestures recognition based on the skeleton of a hand using a MediaPipe framework and Support Vector Machine(SVM) classification. The approach demonstrated high accuracy of recognition gestures 98.74% on a dataset of sign-digit-gestures as well as runtime 71 fps. Moreover, the approach is required only one camera sensor for recognition. The proposed approach can be extended for dynamic gesture recognition and used to control robots and computer devices.

关键词： Human computer interaction Runtime Robot vision systems Support vector machine classification Gesture recognition Cameras Skeleton

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The activity of the brain cortical network during solving tasks

The activity of the brain cortical network during solving ta...

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School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

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

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

In this paper, we analyze the functional connectivity between changes in the concentration of oxyhemoglobin, deoxyhemoglobin, and total hemoglobin, recorded by various leads of fNIRS from the frontal and parietal cortex. The obtained coefficients characterizing the functional connectivity between a pair of leads were presented in the form of a matrix. We analyzed the changes in functional connectivity during the performance of the subject of simple cognitive tasks associated with spatial perception.

关键词： Photonics Correlation Task analysis Neuroscience Optics Robots Brain

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