4 papers
Real-Time Knee Angle Prediction Using EMG and Kinematic Data with an Attention-Based CNN-LSTM Network and Transfer Learning Across Multiple Datasets
Mojtaba Mollahossein, Gholamreza Vossoughi, Mohammad Hossein Rohban
Electromyography (EMG) signals are widely used for predicting body joint angles through machine learning (ML) and deep learning (DL) methods. However, these approaches often face c…
A Novel Robust Control Method Combining DNN-Based NMPC Approximation and PI Control: Application to Exoskeleton Squat Movements
Alireza Aliyari, Gholamreza Vossoughi
Nonlinear Model Predictive Control (NMPC) is a precise controller, but its heavy computational load often prevents application in robotic systems. Some studies have attempted to ap…
Multi-stage robust nonlinear model predictive control of a lower-limb exoskeleton robot
Alireza Aliyari, Gholamreza Vossoughi
The use of exoskeleton robots is increasing due to the rising number of musculoskeletal injuries. However, their effectiveness depends heavily on the design of control systems. Des…
Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG
Mojtaba Mollahossein, Farshad Haghgoo Daryakenari, Mohammad Hossein Rohban +1
Accurate classification of lower limb movements using surface electromyography (sEMG) signals plays a crucial role in assistive robotics and rehabilitation systems. In this study,…