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Keyword: ElectromyographyOpen AccessArticle
9 Pages, 959 KB 
Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing
Abstract:
Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 1,316 KB
Multiclass Myoelectric Identification of Five Fingers Motion using Artificial Neural Network and Support Vector Machine
Abstract:
The research in Neuro-Prosthetics is gaining more significance and popularity as the advancement in prosthetics control allows amputees to perform even more tasks. Indeed, the improvement of classification accuracy is a challenge in prosthetics control. In this research, a system is developed in order to improve the multiclass classification rate. Two classifiers namely Artificial Neural…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))