EEG Based Brain Controlled Mobile Arm Pick and Place robot

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-45 Number-8
Year of Publication : 2017
Authors : Lakshmigandan.B, Janakiram.V, Jothi Raj.S, Salai Selvam.V
DOI :  10.14445/22315381/IJETT-V45P278

Citation 

Lakshmigandan.B, Janakiram.V, Jothi Raj.S, Salai Selvam.V "EEG Based Brain Controlled Mobile Arm Pick and Place robot", International Journal of Engineering Trends and Technology (IJETT), V45(8),416-418 March 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
The Human brain has several neuron. Here we examine the brain wave signal .Different brain wave states has different neural conversation. The neural conversation is done by the neurons. In this the EEG signal from our brain is measured using sensor , attention value is taken while blinking our eyes and connected via Brain computer interface (BCI) .The pattern of brain signal has different amplitude and frequencies. The sensor transmits the signal into packet by using the Bluetooth. Where ARM7 processor is used in interface. BCI used for straight communication between brain and robot.. the raw data is converted into signal using MATLAB GUI platform .Through the BCI interface we control the arm and whole robot. The main aim of the project is for the physically disabled person to become independent on others in their daily life time for their purposes.

 References

[1] “Speech Recognition for Robotic Control” Shraddha D. Gosavi , Uday Pandit Khot, Seema Shah,Shraddha D. Gosavi et al. Int. Journal of Engineering Research and Applications , www.ijera.com Vol. 3, Issue 5, pp.408- 413,2013.
[2] “Non-Invasive EEG Based Wireless Brain Computer Interface for Safety Applications Using Embedded Systems”Uma.K.J1 Mr. C. Santha Kumar, International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol.2, Special Issue 1,2014
[3] “EEG Mouse: A Machine Learning-Based Brain Computer Interface” Mohammad H. Alomari, Ayman AbuBaker, Aiman Turani, Ali M. Baniyounes, Adnan Manasreh,International Journal of Advanced Computer Science and Applications, Vol. 5, No. 4, 2014
[4] “EEG-Based Brain-Controlled Mobile Robots: A Survey” Luzheng Bi, Member, IEEE, Xin-An Fan, and Yili Liu, Member, IEEEIEEE TRANSACTIONS ON HUMANMACHINE SYSTEMS, VOL. 43, NO. 2,pp161-176, 2013
[5] “EEG baed Brain Computer Interface For Controlling Home Appliances”B. SUJATHA1, G. AMBICA2,International Research Journal of Engineering and Technology (IRJET) , Volume: 02 Issue: 09,pp 580- 585,Dec-2015
[6] J. C. Chiou, L. W. Ko, C. T. Lin, C. T. Hong, T. P. Jung, S. F. Liang, and J. L. Jeng, “Using novel MEMS EEG sensors in detecting drowsiness application,” presented at the 2006 IEEE Biomed. Circuits Syst. Conf.(BioCAS), London, U.K.
[7] “MEMS Based Gesture Controlled Robot Using Wireless”Communication ”N.V.MaruthiSagar, D.V.R.SaiManikantaKumar, N.Geethanjali,International Journal of Engineering Trends and Technology (IJETT) – Volume 14 Number4,pp185-188, 2014
[8] “Robotic Arm Showing Writing Skills by Speech Recognition”M. Balaganesh, E. Logashanmugam, and R. Manikandan, Sathyabama University, Chennai, India and C.S. Aadhitya Loughbrough University UK, 978-1-4244- 90059/10/$26.00©2010,IEEE.
[9] “Voice Automated Mobile Robot”, R. Jain and S. K. Saxena, International Journal of Computer Applications (0975 – 8887) vol. 16, no.2, February 2011.
[10] “Electroencephalographic study of drowsiness in simulated driving with sleep deprivation”H. J. Eoh, M. K . Chung, and S. H. Kim.

Keywords
BCI, brain signal, EEG, processor, Robot.