Brain Computer Interface based Emotion Recognition Using Fuzzy Logic

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    A brain controlled robot based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a mobile robot can be controlled. The intention of the project work is to develop a  robot that can  assist the disabled people in their daily life to do some work independent on othersIn Brain computer interface has one electrode by wearing that band we got some Parameters  EEG (electroencephalograph)wave. Based on the Neuron Movement it will work. And then, a fusion algorithm. The most visible EEG changes appear within the first two seconds following stimulation. The rhythm increase most significantly in the negative emotional state Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Mat lab platform. With this entire system, we can move a robot according to the human thoughts and it can be turned by blink muscle contraction these both outputs are fed to compare both output to fuzzy logic.

     

     


  • Keywords


    EEG(electroencephalograph), Level analyzer unit (LAU), Brain–computer interfaces (BCI).

  • References


      [1] Amit Konar, Anuradha Saha, Reshma Kar and Aruna Chakraborty, “Brain-Computer Interfacing for Bio-Perceptive and Rehabilitative Applications”, 2015.

      [2] Vaishnavi L. Kaundanya, Anita Patil, Ashish Panat, “Performance of K-NN Classifier for Emotion Detection Using EEG Signals”, 2015.

      [3] Ian Daly, Asad Malik, James Weaver, Faustina Hwang, Slawmoir J. Nasuto, Duncan Williams. “Identifying music-induced emotions from EEG for use in brain-computer music interfacing”, 2016.

      [4] Chunling Cheng, Xianwei Wei , “Emotion Recognition Algorithm Based on Convolution Neural Network”, 2017.

      [5] Pascual Juli´an-Iranzo and Fernando S´aenz-P´erez, “A Fuzzy Data log Deductive Database System”, 2018

      [6] TRUNG-HAU NGUYEN, DA-LIN YANG, AND WAN-YOUNG CHUNG, “A High-Rate BCI Speller Based on Eye-Closed EEG Signal”,2018

      [7] Dr. AntoBennet, M, Sankar Babu G, Natarajan S, “Reverse Room Techniques for Irreversible Data Hiding”, Journal of Chemical and Pharmaceutical Sciences 08(03): 469-475, September 2015.

      [8] Dr. AntoBennet, M , Sankaranarayanan S, Sankar Babu G, “ Performance & Analysis of Effective Iris Recognition System Using Independent Component Analysis”, Journal of Chemical and Pharmaceutical Sciences 08(03): 571-576, August 2015.

      [9] Dr. AntoBennet, M, Suresh R, Mohamed Sulaiman S, “Performance &analysis of automated removal of head movement artifacts in EEG using brain computer interface”, Journal of Chemical and Pharmaceutical Research 07(08): 291-299, August 2015.

      [10] .Dr. AntoBennet, M “A Novel Effective Refined Histogram For Supervised Texure Classification”, International Journal of Computer & Modern Technology , Issue 01 ,Volume02 ,pp 67-73, June 2015.

      [11] Dr. AntoBennet, M, Srinath R,Raisha Banu A,“Development of Deblocking Architectures for block artifact reduction in videos”, International Journal of Applied Engineering Research,Volume 10, Number 09 (2015) pp. 6985-6991, April 2015.

      [12] AntoBennet, M & JacobRaglend, “Performance Analysis Of Filtering Schedule Using Deblocking Filter For The Reduction Of Block Artifacts From MPEQ Compressed Document Images”, Journal of Computer Science, vol. 8, no. 9, pp. 1447-1454, 2012.

      [13] AntoBennet, M & JacobRaglend, “Performance Analysis of Block Artifact Reduction Scheme Using Pseudo Random Noise Mask Filtering”, European Journal of Scientific Research, vol. 66 no.1, pp.120-129, 2011.


 

View

Download

Article ID: 28925
 
DOI: 10.14419/ijet.v7i4.6.28925




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.