Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 20
Page No. 7448 - 7452

Electroencephalography (EEG) for Control the Luminaire System with Arduino UNO

Authors : Intisar Mohsin Saadoon and Qabas Abdal Zarhaa Jabbar

References

Almejrad A.S., 2010. Human emotions detection using brain wave signals: A challenging. Eur. J. Sci. Res., 44: 640-659.

Azim, M.R., M.S. Amin, S.A. Haque, M.N. Ambia and M.A. Shoeb, 2012. Feature extraction of human sleep EEG signals using wavelet transform and Fourier transform. Proceedings of the 2010th International Conference on Signal Processing Systems (ICSPS), July 5-7, 2010, IEEE, Dalian, China, ISBN:978-1-4244-6892-8, pp: V3-701-V3-705.

Lakshmi, M.R., T.V. Prasad and V.C. Prakash, 2014. Survey on EEG signal processing methods. Intl. J. Adv. Res. Comput. Sci. Software Eng., 4: 84-91.
Direct Link  |  

Myung, B.R. and S.K. Yoo, 2013. Development of 16-channels compact EEG system using real-time high-speed wireless transmission. Eng., 5: 93-97.
CrossRef  |  Direct Link  |  

Sathurappan, N. and S.P. Potty, 2013. Measurement of environmental conditions and biomedical parameters using robotic-gripper. Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems (ICACCS), December 19-21, 2013, IEEE, Coimbatore, India, ISBN:978-1-4799-3506-2, pp: 1-6.

Wang, C.S., 2012. Design of a 32-channel EEG system for brain control interface applications. J. Biomed. Biotechnol., 2012: 1-10.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved