Action classification on the Berkeley Multimodal Human Action Dataset (MHAD)

Computer Science

• Classification Action 100%
• Classification Models 33%
• Extracted Feature 66%
• Feature Extraction 66%
• Feature Selection 66%
• Feature Vector 33%
• Motion Capture 66%
• Particle Swarm Optimization 100%
• Radial Basis Function 33%
• Random Decision Forest 33%
• Selection Process 33%
• Statistical Feature 33%
• Support Vector Machine 66%

INIS

• accelerometers 20%
• accuracy 20%
• capture 20%
• classification 100%
• datasets 100%
• extraction 20%
• forests 10%
• humans 100%
• kernels 10%
• kurtosis 10%
• levels 20%
• motion 20%
• optimization 30%
• particles 30%
• randomness 10%
• skewness 10%
• vectors 30%