A domotics control tool based on MYO devices and neural networks

Santiago Luna-Romero, Paul Delgado-Espinoza, Fredy Rivera-Calle, Luis Serpa-Andrade

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

The automation of spaces has become a recurrent theme in current affairs due to the need to improve comfort, quality of life and facilitate work for the human being. Thus, this article proposes an intelligent system that allows controlling devices wirelessly in a domestic environment in a simple and safe way. Our system is based on the recognition of different gestures that user makes with his arm, using the bracelet MYO of the company Thalmic Labs. The bracelet consists of 8 electrodes, an accelerometer and a gyroscope. The implementation of the system is done through a wireless data collection classification module. The communication system is made up with ZigBee modules, which control the electrical and electronic devices in the home. In order to perform the recognizing and classification of electromyography (EMG) signals, an artificial neural network model based on supervised learning has used. This work specifies the procedure that we have followed to extract the characteristics of received signals, the training phase of learning system, and an explanation of used algorithms.

Idioma originalInglés
Título de la publicación alojadaAdvances in Human Factors and Ergonomics in Healthcare and Medical Devices - Proceedings of the AHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
EditoresVincent Duffy, Nancy Lightner
EditorialSpringer Verlag
Páginas540-548
Número de páginas9
ISBN (versión impresa)9783319604824
DOI
EstadoPublicada - 1 ene. 2018
EventoAHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017 - Los Angeles, Estados Unidos
Duración: 17 jul. 201721 jul. 2017

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen590
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaAHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
País/TerritorioEstados Unidos
CiudadLos Angeles
Período17/07/1721/07/17

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG 2018.

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