Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

A Study on Robot Based on Electroencephalography (EEG)

Author : Abhishek Kumar Pal 1 Abhishek Kumar 2

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Date of Publication :18th January 2018

Abstract: The billions of interconnected neurons make up the human mind; the examples of correspondence between these neurons are delineated as thoughts and passionate states. Each neuronal collaboration makes a minor electric release, which can't be estimated from outside the skull without anyone else's input. However, a huge number of synchronous releases indicate waves that might be estimated. Different mind conditions are the outcome of different neural cooperation designs. These examples lead toparticular amplitudes and frequencies portrayed by waves. Beta Waves is associated with fixation for Example waves somewhere in the range of 12 and 30 hertz, while waves somewhere in the range of 8 and 12 hertz, Alpha Waves are related with unwindingand mental quiet state. Every electric gadget produces equivalent waves, making a specific measure of natural clamor that meddles with cerebrum borne waves, which is the reason of the most electrical EEG frameworks gather readers regardless of whether they are not on the head. Every gadget creates equivalent waves.

Reference :

    1. L. Thunuguntla, R. Naveen, V. Mohan, and P. Mounika, “EEG Based Brain Controlled Robot,” J. Eng. Res. Appl. www.ijera.com, vol. 4, no. 4, pp. 195–198, 2014.
    2. A. Joseph and V. V Kumar, “EEG-Based BrainControlled Mobile Robot,” IOSR J. Electr. Electron. Eng., vol. 11, no. 2, pp. 43–49, 2016, doi: 10.9790/1676-1102024349.
    3. R. Padmavathi and V. Ranganathan, “A Review on EEG Based Brain Computer Interface Systems,” Int. J. Adv. Biol. Biomed. Res., vol. 4, no. 4, pp. 683–696, 2014.
    4. W. Giroldini and L. Pederzoli, “Brain-to-Brain Interaction at a Distance Based on EEG Analysis,” J. Conscious. Eploration Res., vol. 9, no. 6, pp. 501–513, 2018.
    5. V. Gandhi, G. Prasad, D. Coyle, L. Behera, and T. M. McGinnity, “EEG-Based mobile robot control through an adaptive brain-robot interface,” IEEE Trans. Syst. Man, Cybern. Syst., vol. 44, no. 9, pp. 1278–1285, 2014, doi: 10.1109/TSMC.2014.2313317.
    6.  M. K. Tank, “A Review on Brain - Computer Interface Systems Based on EEG,” Int. J. Curr. Trends Eng. Res., vol. 2, no. 5, pp. 285–290, 2016.
    7.  M. A. Aldulaimi, “A real time emotional interaction between EEG brain signals and robot,” in Proceedings - 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors, IRIS 2017, 2018, vol. 2018-January, pp. 369–373, doi: 10.1109/IRIS.2017.8250150.
    8. M. G. S G and C. P. R. P, “A Survey on EEG Feature Extraction and Feature Classification methods in Brain Computer Interface,” IJARCCE, vol. 6, no. 4, pp. 700–706, 2017, doi: 10.17148/ijarcce.2017.64133.
    9. Y. Chae, J. Jeong, and S. Jo, “Toward brainactuated humanoid robots: Asynchronous direct control using an EEG-Based BCI,” IEEE Trans. Robot., 2012, doi: 10.1109/TRO.2012.2201310.
    10. J. Jiang, B. Zhao, P. Zhang, Y. Bai, and X. Chen, “Brain-actuated humanoid robot based on braincomputer interface (BCI),” in Proceedings of 2018 IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2018, 2018, pp. 319–322, doi: 10.1109/AUTEEE.2018.8720766.
    11. A. Khalaf, M. Sybeldon, E. Sejdic, and M. Akcakaya, “An EEG and fTCD based BCI for control,” in Conference Record - Asilomar Conference on Signals, Systems and Computers, 2017, pp. 1285–1289, doi: 10.1109/ACSSC.2016.7869581.
    12. W. Zhang, F. Sun, J. Chen, C. Tan, H. Wu, and W. Su, “An asynchronous MI-based BCI for brain-actuated robot grasping control,” in 2017 International Conference on Computer Systems, Electronics and Control, ICCSEC 2017, 2018, pp. 893–898, doi: 10.1109/ICCSEC.2017.8446993.
    13. Vishal Jain and Dr. S. V. A. V. Prasad, “Evaluation and Validation of Ontology Using Protégé Tool”, International Journal of Research in Engineering & Technology, Vol. 4, No. 5, May, 2016, page no. 1-12 having ISSN No. 2321- 8843.
    14. Vishal Jain and Dr. S. V. A. V. Prasad, “Mapping between RDBMS and Ontology: A Review”, International Journal of Scientific & Technology Research (IJSTR), France, Vol. 3, No. 11, November, 2014 having ISSN No. 2277-8616.
    15.  Vishal Jain and Dr. S. V. A. V. Prasad, “Mining in Ontology With Multi Agent System in Semantic Web : A Novel Approach”, The International Journal of Multimedia & Its Applications (IJMA) Vol.6, No.5, October 2014, page no. 45 to 54 having ISSN No. 0975-5578.
    16. P.Andrew , J.Anishkumar , Prof.S.Balamurugan , S.Charanyaa, “ A Survey on Strategies Developed for Mining Functional Dependencies”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Issue 2, February 2015
    17. SV AmridhVarshini, R Kaarthi, N Monica, M Sowmiya, S Balamurugan, “Entity Relationship Modeling of Automated Passport Management System”, International Journal of Innovative Research in Science, Engineering and Technology , Vol. 4, Issue 2, February 2015
    18.  J Ganeshkumar, N Rajesh, J Elavarasan, M Sarmila, S Balamurugan, “Certain Investigations on Anonymous Authentication Mechanisms for Data Stored in Clouds”, International Journal of Innovative Research in Computer and Communication Engineering, 2015

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