Toward Lightweight End-to-End Semantic Learning of Real-Time Human Activity Recognition for Enabling Ambient Intelligence

Computer Science

• Human Activity Recognition 100%
• Ambient Intelligence 100%
• Preprocessor 40%
• Deep Neural Network 40%
• Neural Network Model 20%
• Bipartite Graph 20%
• Computing Resource 20%
• Learning Framework 20%
• Physical Space 20%
• Classification Problem 20%
• Behavior Model 20%
• Experimental Result 20%
• Good Performance 20%
• Graph Neural Network 20%
• Prediction Performance 20%
• Semantic Relationship 20%
• Semantic Knowledge 20%