Using adaptive directed acyclic graph for human in-hand motion identification with hybrid surface electromyography and kinect

INIS

• surfaces 100%
• humans 100%
• hybrids 100%
• motion 100%
• hands 100%
• graphs 100%
• algorithms 37%
• signals 37%
• images 25%
• data 12%
• information 12%
• comparative evaluations 12%
• architecture 12%
• symmetry 12%
• machine learning 12%
• vectors 12%
• capture 12%
• asymmetry 12%
• data acquisition 12%

Computer Science

• Directed Acyclic Graph 100%
• Recognition Rate 100%
• Electromyography 100%
• Motion Identification 100%
• robotic hand 40%
• Motion Capture 20%
• Graph Algorithms 20%
• Data Preprocessing 20%
• Support Vector Machine 20%
• Neural Network 20%
• Support Vector Machine 20%
• Machine Learning 20%
• Learning System 20%
• System Architectures 20%
• Data Collection 20%
• State Information 20%

Engineering

• Recognition Rate 100%
• End Effector 40%
• Capture System 20%
• Bionics 20%
• Machine Learning Method 20%
• State Information 20%
• Subject Motion 20%
• Depth Discussion 20%
• Data Collection 20%
• Support Vector Machine 20%
• Data Preprocessing 20%