A Study on EEG in Brain Computer Interface
Prajna Paramita Nanda, Srinivas Sethi and Ashima Rout. Article: A Study on EEG in Brain Computer Interface. IJCA Proceedings on National Conference on Next Generation Computing and its Applications in Computer Science and Technology NGCAST 2016(1):6-10, August 2017. Full text available. BibTeX
@article{key:article,
author = {Prajna Paramita Nanda and Srinivas Sethi and Ashima Rout},
title = {Article: A Study on EEG in Brain Computer Interface},
journal = {IJCA Proceedings on National Conference on Next Generation Computing and its Applications in Computer Science and Technology},
year = {2017},
volume = {NGCAST 2016},
number = {1},
pages = {6-10},
month = {August},
note = {Full text available}
}
Abstract
A brain-computer interface (BCI) is the hardware and software system for communications that directly link between computer and human brain also it is used to translate brain activity signals into control signals for external devices. BCI research is to give correspondences capabilities to extremely disabled people who are completely paralyzed or 'secured' by neurological neuromuscular issue, for example amyotrophic parallel sclerosis, brain stem stroke, or spinal cord injury. It has been studied the BCI system, looking at the different types of BCI.
References
- B. Graimann, "Brain–Computer Interfaces: A Gentle Introduction", Springer ,DOI 10. 1007/978-3-642-02091-9_1.
- J. R. Wolpaw, D. J. McFarland, and T. M. Vaughan,"Brain–Computer Interface Research at the Wadsworth Center,"IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, VOL. 8, NO. 2, JUNE 2000.
- Shivani Agarwal,Rohan Taneja,Tuariq Beg," Brain Computer Interface", International Journal of Computer Applications (0975 – 8887), National Seminar on Future Trends & Innovations inComputer Engineering (NSFTICE'2015)
- Dennis J. McFarland and Jonathan R. Wolpaw, "Sensorimotor Rhythm-Based Brain–Computer Interface (BCI): Feature Selection by Regression Improves Performance", IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 13, NO. 3, SEPTEMBER 2005.
- Vincent Alvarez and Andrea O. Rossetti," Electroencephalography and Evoked Potentials: Technical Background", Springer, DOI 10. 1007/978-3-7091-1634-0_2,2015.
- Ranganatha Sitaram, Nikolaus Weiskopf, Andrea Caria,Ralf Veit, Michael Erb, and Niels Birbaumer, fMRI BrainComputer Interfaces, IEEE SIGNAL PROCESSING MAGAZINE
- JANUARY 2008
- Ali Bashashati1, Mehrdad Fatourechi1, Rabab K Ward1,2and Gary E Birch, A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals, JOURNAL OF NEURAL ENGINEERINGJ. Neural Eng. 4 (2007) R32–R57 doi:10. 1088/1741-2560/4/2/R0
- By Narisa N. Y. Chu, Brain–Computer Interface Technology and Development, IEEE Consumer Electronics Magazine ^ july 2015 2162-2248/15©2015IEEE
- Chin-Teng Lin, Fellow, IEEE, Bor-Shyh Lin, Member, IEEE, Fu-Chang Lin, and Che-Jui Chang, Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in UPnP Home Networking, IEEE SYSTEMS JOURNAL, VOL. 8, NO. 2, JUNE 2014.