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dc.contributor.author | Espejel Cabrera, Josué![]() |
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dc.contributor.author | Cervantes Canales, Jair![]() |
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dc.contributor.author | GARCIA LAMONT, FARID![]() |
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dc.contributor.author | RUIZ CASTILLA, JOSE SERGIO![]() |
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dc.contributor.author | DOMINGUEZ JALILI, LAURA YADIRA![]() |
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dc.date.accessioned | 2021-09-23T05:18:37Z | |
dc.date.available | 2021-09-23T05:18:37Z | |
dc.date.issued | 2021-06-06 | |
dc.identifier.issn | 0957-4174 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/110957 | |
dc.description.abstract | In recent years, the development of algorithms that assist in communicate with deaf people is an important challenge. The development of automatic systems to translate sign language is a current research topic. However, this involves several processes that range from video capture, pre-processing to identification or classification of the signal. The development of systems capable of extracting discriminative features that enhance the power of generalization of a classifier is even a very challenging problem. The meaning of a sign is the combination of the hand movement, hand shape, and the point of contact of the hand in the body. This paper presents a method to detect and translate hand gestures. First, we obtain 15 frames per word, obtaining 3 regions of interest (hands and face) from which we obtain geometric features. Finally we use several classifier techniques and present the experimental results. | es |
dc.description.sponsorship | Universidad Autónoma del Estado de México. Proyecto: 4996/2020CIB | es |
dc.language.iso | eng | es |
dc.publisher | Expert Systems with Applications | es |
dc.rights | embargoedAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | es |
dc.subject | Mexican sign languaje | es |
dc.subject | Classifcation | es |
dc.subject | Segmentation | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | es |
dc.title | Mexican Sign Language Segmentation using Color Based Neuronal Networks to detect the individual skin color | es |
dc.type | Artículo | es |
dc.provenance | Científica | es |
dc.road | Dorada | es |
dc.organismo | Centro Universitario UAEM Texcoco | es |
dc.ambito | Internacional | es |
dc.cve.CenCos | 30401 | es |
dc.relation.año | 2021 | |
dc.relation.doi | 10.1016/j.eswa.2021.115295 |