McCool, Paul and Chatlani, Navin and Petropoulakis, Lykourgos and Soraghan, John and Menon, Radhika and Lakany, Heba (2012) 1-D local binary patterns for onset detection of myoelectric signals. In: 20th European Signal Processing Conference, 2012-09-27 - 2012-10-01, Bukarest.Full text not available in this repository. (Request a copy from the Strathclyde author)
This paper presents a new 1-D LBP (Local Binary Pattern) based technique for onset detection. The algorithm is tested on forearm surface myoelectric signals that occur due to lower arm gestures. Unlike other onset detection algorithms, the method does not require manual threshold setting and fine-tuning, which makes it faster and easier to implement. The only variables are window size, histogram type and the number of histogram bins. It is also not necessary to measure the properties of the signal during a quiescent period before the algorithm can be used. 1-D LBP Onset Detection is compared with single and double threshold methods and is shown to be more robust and accurate.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||signal processing, prosthesis, local binary patterns , detection, myoelectric signals, myoelectric signals , surface electromyography, manual threshold setting, histogram, Electrical engineering. Electronics Nuclear engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
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|Depositing user:||Pure Administrator|
|Date Deposited:||10 Sep 2012 14:47|
|Last modified:||10 Apr 2013 11:18|
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