@inproceedings{
 title = {Navigation of quadruped multi-robots by gesture recognition using restricted Boltzmann machines},
 type = {inproceedings},
 year = {2019},
 keywords = {Manipulates,Multirobots,Restricted Boltzmann Machines},
 id = {305553d9-6bb4-3236-9e48-ddc7fea96ebf},
 created = {2019-06-29T23:59:00.000Z},
 file_attached = {false},
 profile_id = {8f53583f-94e1-3d98-83ad-e84ae5eab9e4},
 last_modified = {2020-12-26T18:10:00.058Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© CLAWAR Association. 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%.},
 bibtype = {inproceedings},
 author = {Saraiva, A.A. and Santos, D.B.S. and Marques Junior, F.C.F. and Sousa, J.V.M. and Fonseca Ferreira, N.M. and Valente, A.},
 booktitle = {Robotics Transforming the Future - Proceedings of the 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2018}
}

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