Navigation of quadruped multirobots by gesture recognition using restricted boltzmann machines
- Authors
- Saraiva, Arata A.; SANTOS, D. B. S; MARQUES JUNIOR, F.C.F; SOUSA, JOSE VIGNO M.; FONSECA FERREIRA, N. M.; Valente, Antonio
- Format
- Article
- Status
- publishedVersion
- Description
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%.
- Publication Year
- 2018
- Language
- spa
- Topic
- Manipulates; multirobots; restricted Boltzmann Machines
- Repository
- RI de Documento Digitales de Acceso Abierto de la UTP
- Get full text
- http://revistas.utp.ac.pa/index.php/memoutp/article/view/2013
http://ridda2.utp.ac.pa/handle/123456789/5787
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/