Passive wireless sensing for unsupervised human activity recognition in healthcare

Keyphrases

• Healthcare 100%
• Human Activity Recognition 100%
• Passive Wireless Sensor 100%
• Daily Living Activity Recognition 100%
• Hidden Markov Model 50%
• Training Data 50%
• Non-contact 50%
• Time Alignment 50%
• Minimally Invasive 50%
• Recognition Task 50%
• Elbow 50%
• Novel Procedure 50%
• Proposed Methodology 50%
• Model Selection 50%
• Selected Features 50%
• Fall Detection 50%
• Alignment Method 50%
• Supervised Classification 50%
• Physical Status Classification 50%
• Unsupervised Classification 50%
• Recognition Detection 50%
• Radar System 50%
• Micro-Doppler Radar 50%
• Activity Classification 50%
• Sensing Platform 50%

Computer Science

• Good Performance 100%
• Time Complexity 100%
• Training Dataset 100%
• Human Activity Recognition 100%
• Supervised Classification 100%
• Model Selection 100%

Engineering

• Activity Classification 100%
• Test Result 50%
• Good Performance 50%
• Fall Detection 50%
• Radar Systems 50%
• Doppler Radar 50%
• Noncontact Nature 50%