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http://103.99.128.19:8080/xmlui/handle/123456789/390| Title: | Surface Electromyographic signal based finger prosthesis control using ANN |
| Other Titles: | 5th International Conference on Advances in Electrical Engineering (ICAEE) 2019 ICAEE 2019 |
| Authors: | Islam, Jahedul Sarker, Dhiman Kumar Das, Piyas |
| Keywords: | ATmega-2560 sEMG Signal Electrode Servo Instrumentation Amplifier Moving Average ANN |
| Issue Date: | 26-Sep-2019 |
| Publisher: | Department of Electrical and Electronics Engineering, IUB |
| Series/Report no.: | ICECE; |
| Abstract: | This paper represents the development of surface Electromyographic (sEMG) signal-based finger prosthesis control. A filter & amplifier circuit captures the EMG signal from the surface of the human hand that can be recorded using ATmega-2560 micro-controller. The analysis of the output signal is done to study time domain features. In this paper, standard deviation, mean, a variance is taken as time domain feature. The signal is then trained using simple Artificial Neural Network to classify accurately two finger motion i.e. grip motion and thumb index finger motion. |
| URI: | http://103.99.128.19:8080/xmlui/handle/123456789/390 |
| Appears in Collections: | proceedings in EEE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Surface Electromyographic signal based finger.pdf | 767.92 kB | Adobe PDF | View/Open |
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