Peruvian sign language recognition using low resolution cameras

Bryan Berru-Novoa; Ricardo Gonzalez-Valenzuela; Pedro Shiguihara-Juarez

doi:10.1109/INTERCON.2018.8526408

Peruvian sign language recognition using low resolution cameras

Bryan Berru-Novoa, Ricardo Gonzalez-Valenzuela, Pedro Shiguihara-Juarez

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

8 Citas (Scopus)

Resumen

The recognition of sign language gesture through image processing and Machine Learning has been widely studied in recent years. This article presents a dataset consisting of 2400 images of the static gestures of the Peruvian sign language alphabet, in addition to applying it to a hand gesture recognition system using low resolution cameras. For the gesture recognition, the Histogram Oriented Gradient feature descriptor was used, along with 4 classification algorithms. The results showed that Histogram Oriented Gradient, along with Support Vector Machine, got the best result with a 89.46% accuracy and the system was able to recognize the gestures with variations of translation, rotation and scale.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781538654903
DOI	https://doi.org/10.1109/INTERCON.2018.8526408
Estado	Publicada - 6 nov. 2018
Publicado de forma externa	Sí
Evento	25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 - Lima, Perú Duración: 8 ago. 2018 → 10 ago. 2018

Serie de la publicación

Nombre	Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018

Conferencia

Conferencia	25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
País/Territorio	Perú
Ciudad	Lima
Período	8/08/18 → 10/08/18

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10.1109/INTERCON.2018.8526408

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Berru-Novoa, B., Gonzalez-Valenzuela, R., & Shiguihara-Juarez, P. (2018). Peruvian sign language recognition using low resolution cameras. En Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 [8526408] (Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON.2018.8526408

Berru-Novoa, Bryan ; Gonzalez-Valenzuela, Ricardo ; Shiguihara-Juarez, Pedro. / Peruvian sign language recognition using low resolution cameras. Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018).

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title = "Peruvian sign language recognition using low resolution cameras",

abstract = "The recognition of sign language gesture through image processing and Machine Learning has been widely studied in recent years. This article presents a dataset consisting of 2400 images of the static gestures of the Peruvian sign language alphabet, in addition to applying it to a hand gesture recognition system using low resolution cameras. For the gesture recognition, the Histogram Oriented Gradient feature descriptor was used, along with 4 classification algorithms. The results showed that Histogram Oriented Gradient, along with Support Vector Machine, got the best result with a 89.46% accuracy and the system was able to recognize the gestures with variations of translation, rotation and scale.",

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Berru-Novoa, B, Gonzalez-Valenzuela, R & Shiguihara-Juarez, P 2018, Peruvian sign language recognition using low resolution cameras. En Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018., 8526408, Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018, Institute of Electrical and Electronics Engineers Inc., 25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018, Lima, Perú, 8/08/18. https://doi.org/10.1109/INTERCON.2018.8526408

Peruvian sign language recognition using low resolution cameras. / Berru-Novoa, Bryan; Gonzalez-Valenzuela, Ricardo; Shiguihara-Juarez, Pedro.

Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8526408 (Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Gonzalez-Valenzuela, Ricardo

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Y1 - 2018/11/6

N2 - The recognition of sign language gesture through image processing and Machine Learning has been widely studied in recent years. This article presents a dataset consisting of 2400 images of the static gestures of the Peruvian sign language alphabet, in addition to applying it to a hand gesture recognition system using low resolution cameras. For the gesture recognition, the Histogram Oriented Gradient feature descriptor was used, along with 4 classification algorithms. The results showed that Histogram Oriented Gradient, along with Support Vector Machine, got the best result with a 89.46% accuracy and the system was able to recognize the gestures with variations of translation, rotation and scale.

AB - The recognition of sign language gesture through image processing and Machine Learning has been widely studied in recent years. This article presents a dataset consisting of 2400 images of the static gestures of the Peruvian sign language alphabet, in addition to applying it to a hand gesture recognition system using low resolution cameras. For the gesture recognition, the Histogram Oriented Gradient feature descriptor was used, along with 4 classification algorithms. The results showed that Histogram Oriented Gradient, along with Support Vector Machine, got the best result with a 89.46% accuracy and the system was able to recognize the gestures with variations of translation, rotation and scale.

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Berru-Novoa B, Gonzalez-Valenzuela R, Shiguihara-Juarez P. Peruvian sign language recognition using low resolution cameras. En Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8526408. (Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018). doi: 10.1109/INTERCON.2018.8526408

Peruvian sign language recognition using low resolution cameras

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