@inproceedings{6b209643870749419cbf3507cc38a99c,
title = "Control of 1-DOF exoskeleton based on neural network regression analysis and wavelet transform of MES",
abstract = "Improvement of human locomotor performance through external devices such as exoskeletons is a field of active research. This paper presents the design and implementation of an exoskeleton of one degree of freedom (DOF) to assist the flexion and extension of the upper limb. The exoskeleton is controlled by signals from force sensors and myoelectric signals (MES), achieving a reduction of the muscle activity of the user. The MES are captured from the triceps and biceps muscle groups. Subsequent digital signal processing comprises: for feature extraction of signals the time-frequency Wavelet transform is performed, and its following regression analysis is done by an artificial neural network (ANN). We propose a speed control scheme of the exoskeleton from the aforementioned signals, which is executed in real time, achieving a reduction of the biceps muscle activity up to 94%.",
keywords = "Exoskeleton, Force augmentation, Myoelectric signals, Neural networks, Upper limb, Wavelet transform",
author = "Rafael Puerta and Andres L{\'o}pez and Lizeth Roldan and Diego Patino",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE Colombian Conference on Automatic Control, CCAC 2019 ; Conference date: 15-10-2019 Through 18-10-2019",
year = "2019",
month = oct,
doi = "10.1109/CCAC.2019.8921308",
language = "English",
series = "4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Jose Garcia-Tirado and Diego Munoz-Durango and Hernan Alvarez and Hector Botero-Castro",
booktitle = "4th IEEE Colombian Conference on Automatic Control",
address = "United States",
}