Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

<Previous Article In Volume
Next Article In Volume>

BCI Based Home Automation System by Using SSVEP Signals

Authors
D. Suman1, *, Pavani Thadem1, Srivoju Vaishnavi1, Chilumula Dharani1, Zurian2
1Department of Biomedical Engineering, University College of Engineering, Osmania University, Hyderabad, 500007, India
2Biomedical Engineering Consultant, UNICEF-Jamaica, Kingston, Jamaica
*Corresponding author. Email: dabbu_suman@osmania.ac.in
Corresponding Author
D. Suman
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_7How to use a DOI?
Keywords
brain computer-interface (BCI); Tetraplegia; steady state evoked potentials (SSVEP); Maximum Power Frequency (MPF)
Abstract

SSVEP based BCI system helps Tetraplegia patients to communicate and control devices based on Steady State Visual Evoked Potentials (SSVEP). Home automation systems are in huge need for the Tetraplegia patients to control home appliances like nurse calling system, lights, and Television sets by using visual cues from a stimulator. A visual stimulator is developed which flares at frequencies 7Hz, 8Hz, 9Hz and 10Hz to control nurse calling device at 7Hz, light at 8Hz, fan at 9Hz and thirsty buzzer at 10Hz. A brain signal acquisition device Emotive EPOC is used to acquire EEG signal under visual stimulus operates at different flickering frequencies. EEG signal is processed by Power spectrum to detect the flickering frequencies of the visual stimulator. These flickering frequencies are used to generate control signals from a microcontroller to control various appliances. Experiments were conducted on 40 subjects with 4 trials on every subject and obtain Maximum Power Frequency (MPF) from the EEG signal. it is found that the Maximum Power Frequency of all the trails across all the suubjects is significant in detection of the flickering frequencies of the visual stimulator with p < 0.001. It is found that the flickering frequencies are detected with the accuracy of 99.98% and specificity and sensitivity of 99.89 and 99.87 respectively.Hence MPF is used to generate control signals to actuate the devices.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
978-94-6463-252-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_7How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - D. Suman
AU  - Pavani Thadem
AU  - Srivoju Vaishnavi
AU  - Chilumula Dharani
AU  - Zurian
PY  - 2023
DA  - 2023/11/09
TI  - BCI Based Home Automation System by Using SSVEP Signals
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 46
EP  - 54
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_7
DO  - 10.2991/978-94-6463-252-1_7
ID  - Suman2023
ER  -