A Brain Computer Interface for Smart Home Control

  • Pooja Adale

Abstract

The goal of this work is to help physically disabled and paralyzed people. The Brain computer Interface (BCI) is a transmission between the human brain and computer or external device. NeuroSky Brainwave sensor is used to sense attention values of the brain signal and eye concentration. ARM7 processor is used as interfacing device. According to the attention values and concentration the switching of devices will be controlled.  


 

Keywords: Brain Computer Interface (BCI), NeuroSky Brainwave sensor, Electroencephalogram, ARM7 Processor.

References

1. L. Bi, X. A. Fan , Y. Liu, “EEG-Based Brain Controlled Mobile Robots : A Survey”, IEEE Transaction on human machine systems, vol.43 , no. 2,March 2013, pp. 161
2. Humaira Nisar, Vooi Voon Yap, Kim “Analysis of Electroencephalogram movement”, Australasian physical medicine, Accepted, December, 2012.
3. J. J. Safer, “Non-Invasive BCI through Utilization of Electroencephalography Computer Interfaces”, Boston College.
4. H. Nisar, Voon Yap, Kim “Analysis of Electroencephalogram movements”, Australasian Physical Medicine, Accepted, December, 2012.
5. Hyun-sang Cho et.al, “The Virtual R System for Ubiquitous Home Control”.
6. V. Vashisht, Dr. T. V. Prasad, Dr. S. V. A. V. Prasad, “Technology boon: EEG based brain computer interface-a survey”, International Journal of Computer Science and mobile computing, IJCSMC, Vol. 2, Issue. 4, April 2013, pp.447-454.

1. L. Bi, X. A. Fan , Y. Liu, “EEG-Based Brain Controlled Mobile Robots : A Survey”, IEEE Transaction on human machine systems, vol.43 , no. 2,March 2013, pp. 161
2. Humaira Nisar, Vooi Voon Yap, Kim “Analysis of Electroencephalogram movement”, Australasian physical medicine, Accepted, December, 2012
3. J. J. Safer, “Non-Invasive BCI through Utilization of Electroencephalography Computer Interfaces”, Boston College.
4. H. Nisar, Voon Yap, Kim “Analysis of Electroencephalogram movements”, Australasian Physical Medicine, Accepted, December, 2012.
5. Hyun-sang Cho et.al, “The Virtual R System for Ubiquitous Home Control”.
6. V. Vashisht, Dr. T. V. Prasad, Dr. S. V. A. V. Prasad, “Technology boon: EEG based brain computer interface-a survey”, International Journal of Computer Science and mobile computing, IJCSMC, Vol. 2, Issue. 4, April 2013, pp.447-454.
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How to Cite
Adale, P. (2018). A Brain Computer Interface for Smart Home Control. Asian Journal For Convergence In Technology (Founded by ISB &M School of Technology )), 4(I). https://doi.org/10.33130/asian journals.v4iI.387
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