Navigation of quadruped multirobots by gesture recognition using restricted boltzmann machines

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Arata A. Saraiva
D. B. S Santos
F.C.F Marques Junior
Jose Vigno M. Sousa
N. M. Fonseca Ferreira
Antonio Valente
Enviado: Nov 30, 2018
Publicado: Sep 30, 2018

Resumen

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%.

Palabras clave

Manipulates, multirobots, restricted Boltzmann Machines

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Cómo citar
Saraiva, A. A., Santos, D. B. S., Marques Junior, F., Sousa, J., Fonseca Ferreira, N. M., & Valente, A. (2018). Navigation of quadruped multirobots by gesture recognition using restricted boltzmann machines. Memorias De Congresos UTP, 1(1), 431-438. Recuperado a partir de http://revistas.utp.ac.pa/index.php/memoutp/article/view/2013