Skeleton-based Human Action Recognition using Basis Vectors

Keyphrases

• Sensing Technology 100%
• Human Action Recognition 100%
• Basis Vectors 100%
• Affinity Matrix 100%
• Skeleton-based Action Recognition 100%
• Specific Pattern 50%
• Feature Vector 50%
• Multimodality 50%
• Spectral Analysis 50%
• Person-specific 50%
• Vector Analysis 50%
• Detection Accuracy 50%
• Action Features 50%
• Device Noise 50%
• Human Movement 50%
• Recognition Method 50%
• Low-dimensional Representation 50%
• Depth Sensing 50%
• Computational System 50%
• Microsoft Kinect 50%
• Pattern Variability 50%
• System Energy 50%
• Action Detection 50%
• Input Device 50%
• Proposed Work 50%
• Kernel Regressor 50%

Computer Science

• human action recognition 100%
• Affinity Matrix 100%
• Skeleton-Based Human Action Recognition 100%
• Research Topic 50%
• Feature Vector 50%
• Detection Accuracy 50%
• Computational System 50%
• Input Device 50%

INIS

• humans 100%
• vectors 100%
• matrices 50%
• affinity 50%
• detection 25%
• devices 25%
• demand 25%
• accuracy 25%
• dynamics 25%
• depth 25%
• noise 25%
• kernels 25%
• power systems 25%