A domotics control tool based on MYO devices and neural networks

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

doi:10.1007/978-3-319-60483-1_56

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 proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	Advances 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
Editors	Vincent Duffy, Nancy Lightner
Publisher	Springer Verlag
Pages	540-548
Number of pages	9
ISBN (Print)	9783319604824
DOIs	https://doi.org/10.1007/978-3-319-60483-1_56
State	Published - 1 Jan 2018
Event	AHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017 - Los Angeles, United States Duration: 17 Jul 2017 → 21 Jul 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	590
ISSN (Print)	2194-5357

Conference

Conference	AHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
Country/Territory	United States
City	Los Angeles
Period	17/07/17 → 21/07/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2018.

Keywords

Artificial neural networks
Domotics
EMG signals
MYO devices
Wireless communication

Access to Document

10.1007/978-3-319-60483-1_56

Cite this

Luna-Romero, S., Delgado-Espinoza, P., Rivera-Calle, F., & Serpa-Andrade, L. (2018). A domotics control tool based on MYO devices and neural networks. In V. Duffy, & N. Lightner (Eds.), Advances 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 (pp. 540-548). (Advances in Intelligent Systems and Computing; Vol. 590). Springer Verlag. https://doi.org/10.1007/978-3-319-60483-1_56

Luna-Romero, Santiago ; Delgado-Espinoza, Paul ; Rivera-Calle, Fredy et al. / A domotics control tool based on MYO devices and neural networks. Advances 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. editor / Vincent Duffy ; Nancy Lightner. Springer Verlag, 2018. pp. 540-548 (Advances in Intelligent Systems and Computing).

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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.",

keywords = "Artificial neural networks, Domotics, EMG signals, MYO devices, Wireless communication",

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Luna-Romero, S, Delgado-Espinoza, P, Rivera-Calle, F & Serpa-Andrade, L 2018, A domotics control tool based on MYO devices and neural networks. in V Duffy & N Lightner (eds), Advances 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. Advances in Intelligent Systems and Computing, vol. 590, Springer Verlag, pp. 540-548, AHFE 2017 International Conferences on Human Factors and Ergonomics in Healthcare and Medical Devices, 2017, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60483-1_56

A domotics control tool based on MYO devices and neural networks. / Luna-Romero, Santiago; Delgado-Espinoza, Paul; Rivera-Calle, Fredy et al.
Advances 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. ed. / Vincent Duffy; Nancy Lightner. Springer Verlag, 2018. p. 540-548 (Advances in Intelligent Systems and Computing; Vol. 590).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Luna-Romero S, Delgado-Espinoza P, Rivera-Calle F , Serpa-Andrade L. A domotics control tool based on MYO devices and neural networks. In Duffy V, Lightner N, editors, Advances 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. Springer Verlag. 2018. p. 540-548. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60483-1_56

A domotics control tool based on MYO devices and neural networks

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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