|
Improved gesture recognition based on sEMG signals and TCN Host Publication: 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings Authors: P. Tsinganos, B. Cornelis, J. Cornelis, B. Jansen and A. Skodras Publisher: IEEE Publication Date: Apr. 2019 Number of Pages: 5
Abstract: In recent years, the successful application of Deep Learning methods to classification problems has had a huge impact in many domains. In biomedical engineering, the problem of gesture recognition based on electromyography is often addressed as an image classification problem using Convolutional Neural Networks. In this paper, we approachelectromyography-based hand gesture recognition as a sequence classificationproblem using Temporal Convolutional Networks. The proposed network yields an improvement in gesture recognition of almost 5% to the state of the art reported in the literature, whereas the analysis helps in understanding the limitations of the model and exploring new ways to improve its performance.
|
