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Pure Mathematics for Theoretical Computer Science

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Pure Mathematics for Theoretical Computer Science
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Volume 1 • Issue 1 • PP: 08-16 • 2023

The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm

Barbara Charchekhandra 1*
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1Jadavpur University, Department Of Mathematics, Kolkata, India
* Corresponding Author.
DOI https://doi.org/10.54216/PMTCS.010101
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© 2023 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Received: September 17, 2022 Revised: November 02, 2022 Accepted: January 03, 2023
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Abstract

In this research, brain computer interface was designed to record brain signals and connecting it to labview via Bluetooth technology. Brain signals were acquired for 10 persons according to a specific protocol designed for the purpose of study then analyze those signals in order to form statistical data and study the changes of frequency and amplitude depending on the opening and closing of the eye. Accordingly a signal processing algorithm was developed to obtain the frequency and amplitude of the brain signal and compare those values during the opening and closing of the eye and determine the discrimination values. After the analysis and the classification steps, the algorithm was developed to send the command data to the Arduino chip and linked to the signal processing algorithm. As a result, the brain signal was marked at the blink and processed to execute a control command to trigger a relay and move an automatic arm or perform any action.

 

Keywords

automatic arm brain electrical signals Adruino chip

References

[1] HARMONY,T,S.2015,EEG Signal Processing. Malaysia,22.

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[3]PFURTSCHELLER,G; NEUPER,C; GUGER,C; HARKAM, W; AMOSER, H;SCHLOG L,A;OBERMAIER,B; PREGENZE,M. 2000, Current Trends in Graz Brain–Computer Interface (BCI) Research. Austria,4.

[4]DELORME,A;MAKEIG,S.2004, EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. California San Diego,21.

[5] DELORME, A; MULLEN, T; KOTHE, C; ACAR, A, Z; SHAMLO, N, B; VANKOV,A; and MAKEIG,S.2011, EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing. California San Diego,12.

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[9] ONTON,J;DELORME,A; and MAKEIG,S.2005, Frontal midline EEG dynamics during working memory. California San Diego,16.

[10] 23Jun.2018. http://neurosky.com/

[11] 23Jun.2018. http://www.rassoft.net/article217

[12] 23Jun.2018. https://github.com/sccn/BCILAB

[13] 23Jun.2018. https://sccn.ucsd.edu/wiki/BCILAB

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format_quote
Charchekhandra, Barbara. "The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm." Pure Mathematics for Theoretical Computer Science, vol. Volume 1, no. Issue 1, 2023, pp. 08-16. DOI: https://doi.org/10.54216/PMTCS.010101
Charchekhandra, B. (2023). The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm. Pure Mathematics for Theoretical Computer Science, Volume 1(Issue 1), 08-16. DOI: https://doi.org/10.54216/PMTCS.010101
Charchekhandra, Barbara. "The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm." Pure Mathematics for Theoretical Computer Science Volume 1, no. Issue 1 (2023): 08-16. DOI: https://doi.org/10.54216/PMTCS.010101
Charchekhandra, B. (2023) 'The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm', Pure Mathematics for Theoretical Computer Science, Volume 1(Issue 1), pp. 08-16. DOI: https://doi.org/10.54216/PMTCS.010101
Charchekhandra B. The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm. Pure Mathematics for Theoretical Computer Science. 2023;Volume 1(Issue 1):08-16. DOI: https://doi.org/10.54216/PMTCS.010101
B. Charchekhandra, "The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm," Pure Mathematics for Theoretical Computer Science, vol. Volume 1, no. Issue 1, pp. 08-16, 2023. DOI: https://doi.org/10.54216/PMTCS.010101
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