Citation

Jeyabalan, V. (2011) Machine Learning - Brain-Based Devices; Study Results from Multimedia University Provide New Insights into Machine Learning - Brain-Based Devices. Telecommunications Weekly. p. 295. ISSN 1945-841x

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Abstract

The EEG signals were pre-processed by means of adaptive recursive band-pass filtrations (ARBF) and classified using simplified fuzzy adaptive resonance theory mapping (ARTMAP) in which the classified signals are then translated into control signals used for machine control via the PLC. A real-time test system was designed using MATLAB for signal processing, KEP-Ware V4 OLE for process control (OPC), a wireless local area network router, an Omron Sysmac CPM1 PLC and a 5 V/0.3A motor.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	22 Oct 2013 03:55
Last Modified:	22 Oct 2013 03:55
URII:	http://shdl.mmu.edu.my/id/eprint/4285

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