Navigation of quadruped multirobots by gesture recognition using restricted boltzmann machines
This article discusses a method that performs gesture recognition, with the objective of extracting characteristics of the segmented hand, from dynamic images captured from a webcam and identifying signal patterns. With this method it is possible to manipulate simulated multirobots that perform spec...
| Autores Principales: | Saraiva, Arata A., SANTOS, D. B. S, MARQUES JUNIOR, F.C.F, SOUSA, JOSE VIGNO M., FONSECA FERREIRA, N. M., Valente, Antonio |
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| Formato: | Artículo |
| Idioma: | Español |
| Publicado: |
Universidad Tecnológica de Panamá
2018
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| Materias: | |
| Acceso en línea: |
http://revistas.utp.ac.pa/index.php/memoutp/article/view/2013 http://ridda2.utp.ac.pa/handle/123456789/5787 |
| Sumario: |
This article discusses a method that performs gesture recognition, with the objective of extracting characteristics of the segmented hand, from dynamic images captured from a webcam and identifying signal patterns. With this method it is possible to manipulate simulated multirobots that perform specific movements. The method consists of the Continuously Adaptive Mean-SHIFT algorithm, followed by the Threshold segmentation algorithm and Deep Learning through Boltzmann restricted machines. As a result, an accuracy of 82.2%. |
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