Control and Monitor of IoT Devices using EOG and Voice Commands

Authors

DOI:

https://doi.org/10.18100/ijamec.799507

Keywords:

Inernet of Things (IoT), EOG Control, NodeMCU, Smart Home

Abstract

This paper aims to deploy a machine to control and monitor home devices, and to assist people who suffer from spinal cord injuries to control devices, such injuries cause people to lose their ability to use their body movements, normal people may use voice commands as well. The prototype used electrooculography (EOG) system [1, 2, 3]. The patients who suffer from spinal cord injuries may use this system to control household appliances and use the voice system to control home devices. This prototype use internet of things (IoT) technology through Wi-Fi and Arduino microcontroller to capture eye muscle movement signals, that are taken from patients, or voice signals to compare them with pre-recorded voice commands. Many tests have been made to assure correctness and speed using different environment parameters and conditions. The error rate was 2.5% for EOG and 1% for voice commands in the best cases. The idea could be developed further, smartphones and mobile data can be used for controlling and monitoring homes remotely.

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References

C.KavithaandG.Nagappan,"Sensing and processing of EOG signals to control human machine interface system, "international journal of since, engineering and technology research(IJSETR), vol. 4, no. 4, pp. 1330-1336, 2015.

D.A. Thirugnanam,"Development of EOG Based Human Machine Interface Control System for Motorized Wheelchair," Department of Biotechnology and Medical Engineering india 769 008, 2013

A. Jambhulkar, S. Wandhare, D. Baraskar, and K. Barahate,"Wireless and portable EOG based interface for controlling wheelchair, "IntJSciEng TechnolRes, vol.5,pp . 189-191,2016.

U. Siddiqui and A. Shaikh, "An overview of electrooculography," International Journal of AdvancedResearchinComputerandCommunicationEngineering,vol.2,no.11,pp.4328-4330, 2013.

R. Naga, S. Chandralingam, T. Anjaneyulu, and K. Satyanarayana, "Denoising EOG signal using stationary wavelet transform," Measurement Science Review, vol. 12, no. 2, pp. 46-51, 2012.

Qusay F. Hassan, "Introduction to the Internet of Things," in Internet of Things A to Z: Technologies and Applications , IEEE, 2018.

A. McEwen and H. Cassimally, Designing the Internet of Things. Wiley, 2013.

K. K. Patel and S. M. Patel, "Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges," International journal of engineering science and computing, vol. 6, no. 5, 2016.

EVA Facial Mouse PRO 2020 [mobile app] play.google.com

P. Srivastava, M. Bajaj and A. S. Rana, "Overview of ESP8266 Wi-Fi module based Smart Irrigation System using IOT," 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), Chennai, 2018.

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Published

01-10-2020

Issue

Section

Research Articles

How to Cite

[1]
“Control and Monitor of IoT Devices using EOG and Voice Commands”, J. Appl. Methods Electron. Comput., vol. 8, no. 3, pp. 92–96, Oct. 2020, doi: 10.18100/ijamec.799507.

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