Identification of the elbow motion kinematic parameters by means of artificial neural networks technology

Identification of the elbow motion kinematic parameters by means of artificial neural networks technology

The research objective is to study elbow flexion kinematic parameters using the artificial neural networks (ANN). Parameters of the surface electromyogram (sEMG) are used as ANN inputs. The ANN output is kinematic parameters of motion: direction, angular displacement, and angular velocity. The study...

Full description

Bibliographic Details
Main Authors: Felix Bonilla, Evgeny Anatolyevich Lukyanov, Anatoly Vitalyevich Litvin, Dmitry Alexeyevich Deplov
Format: Article
Language:Russian
Published: Don State Technical University 2015-03-01
Series:Advanced Engineering Research
Subjects:
пассивный экзоскелет
параметры движения локтя
электромиографический сигнал
статистический анализ
спектральный анализ
искусственная нейронная сеть
matlab
simulink
passive exoskeleton
elbow motion parameters
electromyographic signal
statistical analysis
spectral analysis
artificial neural network
Online Access:https://www.vestnik-donstu.ru/jour/article/view/228

Internet

https://www.vestnik-donstu.ru/jour/article/view/228

Similar Items