Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Maxim Bakaev"'
Autor:
E. Rajalakshmi, R. Elakkiya, V. Subramaniyaswamy, L. Prikhodko Alexey, Grif Mikhail, Maxim Bakaev, Ketan Kotecha, Lubna Abdelkareim Gabralla, Ajith Abraham
Publikováno v:
IEEE Access, Vol 11, Pp 2226-2238 (2023)
The speech and hearing-impaired community use sign language as the primary means of communication. It is quite challenging for the general population to interpret or learn sign language completely. A sign language recognition system must be designed
Externí odkaz:
https://doaj.org/article/7d4bb817e37349e0ab3a377534e1df94
Publikováno v:
Algorithms, Vol 16, Iss 11, p 502 (2023)
Brain–computer interfaces (BCIs) based on steady-state visually evoked potentials (SSVEPs) are inexpensive and do not require user training. However, the highly personalized reaction to visual stimulation is an obstacle to the wider application of
Externí odkaz:
https://doaj.org/article/cded59b48f0043129b21f908c6319447
Autor:
Maxim Bakaev, Vladimir Khvorostov
Publikováno v:
Engineering Proceedings, Vol 33, Iss 1, p 3 (2023)
Intelligent systems today are increasingly required to predict or imitate human perception and behavior. In this, feature-based Machine Learning (ML) models are still common, since collecting appropriate training data from human subjects for the data
Externí odkaz:
https://doaj.org/article/d95f963b4bb4492aaf7f63c5bd819f52
Publikováno v:
Vision, Vol 7, Iss 2, p 30 (2023)
Natural environment experiences in virtual reality (VR) can be a feasible option for people unable to connect with real nature. Existing research mostly focuses on health and emotional advantages of the “virtual nature” therapy, but studies of it
Externí odkaz:
https://doaj.org/article/6535b7427d8145f89241f501c84ab5aa
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 30 (2023)
Training data for user behavior models that predict subjective dimensions of visual perception are often too scarce for deep learning methods to be applicable. With the typical datasets in HCI limited to thousands or even hundreds of records, feature
Externí odkaz:
https://doaj.org/article/5296ed1b36134a99904140d1336bb30d
Autor:
Olga Razumnikova, Maxim Bakaev
Publikováno v:
Journal of Intelligence, Vol 10, Iss 3, p 52 (2022)
Despite the lasting interest towards the relationship between intelligence and creativity, comparably less attention is paid to its age-related changes. Our paper considers the organization of fluid intelligence and psychometric indicators of creativ
Externí odkaz:
https://doaj.org/article/30b0b4e54f9147d2b93721a7a1ac0ff0
Autor:
Maxim Bakaev, Olga Razumnikova
Publikováno v:
Future Internet, Vol 13, Iss 1, p 21 (2021)
Tasks that imply engagement of visual-spatial working memory (VSWM) are common in interaction with two-dimensional graphical user interfaces. In our paper, we consider two groups of factors as predictors of user performance in such tasks: (1) the met
Externí odkaz:
https://doaj.org/article/8c144cda14a04043bb57c58934136b26
Publikováno v:
IT Professional. 25:23-29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19de0b3a292561616e1b420ea0b8204a
https://doi.org/10.1109/mitp.2023.3262923
https://doi.org/10.1109/mitp.2023.3262923
Publikováno v:
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2904812dd22ef6510e8f638372934f89
https://doi.org/10.1109/sibircon56155.2022.10017067
https://doi.org/10.1109/sibircon56155.2022.10017067
Publikováno v:
Science Bulletin of the Novosibirsk State Technical University. :57-76
In our paper, we consider approaches towards the recognition of sign languages used by the deaf people in Russia and India. The structure of the recognition system for individual gestures is proposed based on the identification of its five components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c5227f833bbc2a64126ad6547f8e8ff
https://doi.org/10.17212/1814-1196-2020-2-3-57-76
https://doi.org/10.17212/1814-1196-2020-2-3-57-76