A step towards the development of VHDL model for ANN based EMG signal classifier
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 w...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/25722/ http://irep.iium.edu.my/25722/1/494_ICIEV12_A_Step.pdf |
| _version_ | 1848779508717453312 |
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| author | Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran |
| author_facet | Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran |
| author_sort | Ahsan, Md. Rezwanul |
| building | IIUM Repository |
| collection | Online Access |
| description | 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.
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| first_indexed | 2025-11-14T15:18:54Z |
| format | Proceeding Paper |
| id | iium-25722 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:18:54Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-257222012-09-18T07:26:19Z http://irep.iium.edu.my/25722/ A step towards the development of VHDL model for ANN based EMG signal classifier Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran T Technology (General) TK Electrical engineering. Electronics Nuclear engineering 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. 2012 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/25722/1/494_ICIEV12_A_Step.pdf Ahsan, Md. Rezwanul and Ibrahimy, Muhammad Ibn and Khalifa, Othman Omran (2012) A step towards the development of VHDL model for ANN based EMG signal classifier. In: IEEE/OSA/IAPR International Conference on Informatics, Electronics & Vision, 18-19 May, 2012, Dhaka, Bangladesh. http://iciev.org/ICIEV2012/ |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran A step towards the development of VHDL model for ANN based EMG signal classifier |
| title | A step towards the development of VHDL model for ANN based EMG signal classifier |
| title_full | A step towards the development of VHDL model for ANN based EMG signal classifier |
| title_fullStr | A step towards the development of VHDL model for ANN based EMG signal classifier |
| title_full_unstemmed | A step towards the development of VHDL model for ANN based EMG signal classifier |
| title_short | A step towards the development of VHDL model for ANN based EMG signal classifier |
| title_sort | step towards the development of vhdl model for ann based emg signal classifier |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/25722/ http://irep.iium.edu.my/25722/ http://irep.iium.edu.my/25722/1/494_ICIEV12_A_Step.pdf |