A domotics control tool based on MYO devices and neural networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationAdvances 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
EditorsVincent Duffy, Nancy Lightner
PublisherSpringer Verlag
Pages540-548
Number of pages9
ISBN (Print)9783319604824
DOIs
StatePublished - 1 Jan 2018
EventAHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume590
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

Keywords

  • Artificial neural networks
  • Domotics
  • EMG signals
  • MYO devices
  • Wireless communication

Fingerprint Dive into the research topics of 'A domotics control tool based on MYO devices and neural networks'. Together they form a unique fingerprint.

Cite this