1. Deep Learning in EMG-based Gesture Recognition
- Author
-
Bart Jansen, Bruno Cornelis, Athanassios N. Skodras, Jan Cornelis, Panagiotis Tsinganos, and Vrije Universiteit Brussel
- Subjects
Computer science ,Gesture recognition ,business.industry ,Deep learning ,Speech recognition ,Artificial intelligence ,business - Abstract
In recent years, Deep Learning methods have been successfully applied to a wide range of image and speech recognition problems highly impacting other research fields. As a result, new works in biomedical engineering are directed towards the application of these methods to electromyography-based gesture recognition. In this paper, we present a brief overview of Deep Learning methods for electromyography-based hand gesture recognition along with an analysis of a modified simple model based on Convolutional Neural Networks. The proposed network yields a 3% improvement on the classification accuracy of the basic model, whereas the analysis helps in understanding the limitations of the model and exploring new ways to improve the performance.
- Published
- 2018