DocumentCode :
3511479
Title :
A step towards the development of VHDL model for ANN based EMG signal classifier
Author :
Ahsan, Md Rezwanul ; Ibrahimy, Muhammad Ibn ; Khalifa, Othman Omran
Author_Institution :
Dept. of Electr. & Comput. Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
fYear :
2012
fDate :
18-19 May 2012
Firstpage :
542
Lastpage :
547
Abstract :
The artificial neural network (ANN) is an information processing model which is developed from the inspiration of practical biological nervous system. ANNs are analogous to the human brain, which can perform a variety of complex tasks if configured properly through a learning process. The research work involves with the utilization of ANN as a classifier for hand motion detection by using Electromyography (EMG) signals. A feed-forward ANN with back-propagation learning algorithm is used for the classification of EMG signals. This paper illustrates the modeling of the neural network based classifier using Hardware Description Language (HDL) for hardware realization. VHDL (Very High Speed Integrated Circuit Hardware Description Language) has been used to model the algorithm and which can be implemented into the target device FPGA (Field Programmable Gate Array). The development process and simulation output are presented in details with the architectural design of the neural network. The designed model has been synthesized and fitted into Altera´s Stratix III, chipset EP3SE50F780I4L using the electronic design automation (EDA) software Quartus II version 9.1 Web Edition.
Keywords :
backpropagation; biomechanics; electromyography; electronic design automation; feedforward neural nets; field programmable gate arrays; hardware description languages; medical signal processing; neurophysiology; signal classification; Altera Stratix Ill; FPGA; VHDL Model; artificial neural network; back-propagation learning algorithm; biological nervous system; chipset EP3SE50F780I4L; electromyography signals; electronic design automation; feed-forward ANN based EMG signal classifier; field programmable gate array; hand motion detection; human brain; neural network based classifier; software Quartus II version 9.1 Web Edition; very high speed integrated circuit hardware description language; Artificial neural networks; Biological system modeling; Computational modeling; Field programmable gate arrays; Software; Classification; EDA etc; Electromyography; Neural Network; VHDL modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
Type :
conf
DOI :
10.1109/ICIEV.2012.6317521
Filename :
6317521
Link To Document :
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