Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach

Engineering

• Learning Approach 100%
• Deep Learning 100%
• Angle Joint 100%
• Long Short-Term Memory 60%
• Experimental Result 20%
• Feature Extraction 20%
• Joints (Structural Components) 20%
• Pressure Signal 20%
• Root Mean Square Error 20%
• Mean Absolute Error 20%
• Mean Value 20%
• Swing Phase 20%
• Pearsons Linear Correlation Coefficient 20%
• Machine Learning Algorithm 20%
• Support Phase 20%
• Cooperative Control 20%
• Prediction Performance 20%
• Angle Prediction 20%