Deep neural network for EMG signal classification of wrist position: Preliminary results

Keyphrases

• Algorithm Use 25%
• Angular Position 25%
• Artificial Neural Network 25%
• Assistive Devices 25%
• Autoencoder 50%
• Better Performance 25%
• Deep Neural Architecture 25%
• Deep Neural Network 100%
• Electrogoniometer 25%
• EMG Signal 25%
• EMG Signal Classification 100%
• Extraction Methods 25%
• Feature Extraction 25%
• Flexion-extension 25%
• Forearm 25%
• Human Motion Intention 25%
• Human-robot Interaction 25%
• Joint Angle 25%
• Layered Structure 25%
• Neuromuscular Activation 25%
• Pattern Recognition 25%
• Pattern Recognition Algorithms 25%
• Physically Disabled 25%
• Rehabilitation Device 25%
• Shallow Neural Network 25%
• Stage-based 25%
• Surface Electromyography (sEMG) 100%
• Wrist 25%
• Wrist Extension 25%
• Wrist Flexion 25%
• Wrist Position 100%

Computer Science

• Angular Position 14%
• Artificial Neural Network 14%
• Assistive Devices 14%
• Autoencoder 28%
• Deep Neural Network 100%
• Electromyography 100%
• Feature Extraction 14%
• Frequency Domain 14%
• Human Motion 14%
• Human Robot Interaction 14%
• Neural Network 14%
• Neural Network Architecture 14%
• Pattern Recognition 28%
• Recognition Algorithm 14%