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D V Zakharchenko

Biographic Data

ID785669
NAMED V Zakharchenko
GIVEN NAMESD V
FAMILY NAMEZakharchenko
SIGNATUREZAKHARCHENKO D V
AFFILIATIONSInstitute of Higher Nervous Activity and Neurophysiology
ORCID0000-0001-6164-2005
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Voluntary Attention Assessing Tests in Children with Neurodevelopmental Disorders Using Eye Tracking

    Open Access•Anna Rebreikina, D V Zakharchenko et al.•ARTICLE•Children•2024

    Background/Objectives: The development of techniques for assessing cognitive functions using eye tracking is particularly important for children with developmental disabilities. In this paper, we present pilot results from the validation of two methods for assessing voluntary attention based on eye tracking. Methods: The study involved 80 children aged 3 to 8 years with neurodevelopmental disorders. Children performed two eye-tracking tests in wh…

  • Use of Geometric Methods of Analysis of Video-Oculographic Data to Assess the Functional Condition of a Person

    Open Access•D V Zakharchenko, I Torshin et al.•ARTICLE•Ekologiya Cheloveka (Human Ecology•2017•References: 15

    Objective. In article describes two original algorithms for the analysis of video-oculographic data and analyses the effectiveness of these algorithms to assess the current functional condition of a person. One of the algorithms is designed for estimating macrosaccades curvature and the other - to evaluate the smoothness of target tracking. Both algorithms are based on geometric methods of videooculographic data processing. Methods. The assess of…

No prominent works on this page.

  • Use of Geometric Methods of Analysis of Video-Oculographic Data to Assess the Functional Condition of a Person

    Open Access•D V Zakharchenko, I Torshin et al.•ARTICLE•Ekologiya Cheloveka (Human Ecology•2017•References: 15

    Objective. In article describes two original algorithms for the analysis of video-oculographic data and analyses the effectiveness of these algorithms to assess the current functional condition of a person. One of the algorithms is designed for estimating macrosaccades curvature and the other - to evaluate the smoothness of target tracking. Both algorithms are based on geometric methods of videooculographic data processing. Methods. The assess of…

  • Voluntary Attention Assessing Tests in Children with Neurodevelopmental Disorders Using Eye Tracking

    Open Access•Anna Rebreikina, D V Zakharchenko et al.•ARTICLE•Children•2024

    Background/Objectives: The development of techniques for assessing cognitive functions using eye tracking is particularly important for children with developmental disabilities. In this paper, we present pilot results from the validation of two methods for assessing voluntary attention based on eye tracking. Methods: The study involved 80 children aged 3 to 8 years with neurodevelopmental disorders. Children performed two eye-tracking tests in wh…

Artificial Intelligence (2 works) · Computer Science (2 works) · Psychology (2 works) · Advanced Scientific Research Methods (1 works) · Algorithm (1 works) · Attention Deficit Hyperactivity Disorder (1 works) · Audiology (1 works) · Cognitive psychology (1 works) · Computer vision (1 works) · Curvature (1 works)

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