Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alfarabi Imashev"'
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0233731 (2020)
Facial expressions in sign languages are used to express grammatical functions, such as question marking, but can also be used to express emotions (either the signer's own or in constructed action contexts). Emotions and grammatical functions can uti
Externí odkaz:
https://doaj.org/article/1b3736a0b1ca4fda8552f957af522d1c
Publikováno v:
Proceedings of the 10th International Conference on Human-Agent Interaction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d93a12dd984d0828c166ef08547575c4
https://doi.org/10.1145/3527188.3561923
https://doi.org/10.1145/3527188.3561923
Autor:
Medet Mukushev, Aidyn Ubingazhibov, Aigerim Kydyrbekova, Alfarabi Imashev, Vadim Kimmelman, Anara Sandygulova
Publikováno v:
e0273649
PLOS ONE
PLOS ONE
This paper presents a new large-scale signer independent dataset for Kazakh-Russian Sign Language (KRSL) for the purposes of Sign Language Processing. We envision it to serve as a new benchmark dataset for performance evaluations of Continuous Sign L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c75ac11552f9456e622b9685399425
https://doi.org/10.1371/journal.pone.0273649
https://doi.org/10.1371/journal.pone.0273649
Publikováno v:
CoNLL
The paper presents the first dataset that aims to serve interdisciplinary purposes for the utility of computer vision community and sign language linguistics. To date, a majority of Sign Language Recognition (SLR) approaches focus on recognising sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::376f44006e630f02dde1f1e90842b39e
https://doi.org/10.18653/v1/2020.conll-1.51
https://doi.org/10.18653/v1/2020.conll-1.51
Publikováno v:
e0233731
PLOS ONE
PLoS ONE, Vol 15, Iss 6, p e0233731 (2020)
PLoS ONE
PLOS ONE
PLoS ONE, Vol 15, Iss 6, p e0233731 (2020)
PLoS ONE
Facial expressions in sign languages are used to express grammatical functions, such as question marking, but can also be used to express emotions (either the signer’s own or in constructed action contexts). Emotions and grammatical functions can u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc983680e4e045cc8d00ecfc2b82acf
https://doi.org/10.1371/journal.pone.0233731
https://doi.org/10.1371/journal.pone.0233731
Autor:
Alfarabi Imashev
Publikováno v:
2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT).
this article is aimed at illustrating the approach of detecting and recognizing Kazakh Sign Language static gestures without using expensive depth cameras or sensor gloves. For this research a simple RGB mono camera had been used. The main distinguis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c7de4aa51f95653710af43cb4fcc505
https://doi.org/10.1109/icaict.2017.8687032
https://doi.org/10.1109/icaict.2017.8687032
Autor:
Alfarabi Imashev, Shynggys Islam, Kairat Aitpayev, Nazgul Tazhigaliyeva, Nazerke Kalidolda, Anara Sandygulova, German Ignacio Parisi
Publikováno v:
ICRA
Deaf-mute communities around the world experience a need in effective human-robot interaction system that would act as an interpreter in public places such as banks, hospitals, or police stations. The focus of this work is to address the challenges p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3053bf58db74722da8d7793ed7123a88
https://doi.org/10.1109/icra.2017.7989526
https://doi.org/10.1109/icra.2017.7989526
Publikováno v:
2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT).
The goal of this work is to automatically annotate manual and some non-manual features of sign language in video. To achieve this we examine two techniques one using depth camera Microsoft Kinect 2.0 and second using simple RGB mono camera. In this w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a5419280b5126791ca3b39d8772d661
https://doi.org/10.1109/icaict.2016.7991803
https://doi.org/10.1109/icaict.2016.7991803