GAN based noise generation to aid activity recognition when augmenting measured wifi radar data with simulations

Keyphrases

• Training Data 100%
• Network Applications 100%
• Activity Recognition 100%
• Radar Data 100%
• Generative Adversarial Networks 100%
• Wi-Fi Radar 100%
• Noise Generation 100%
• Large Volume 66%
• Passive Wi-Fi Radar 66%
• Human Activities 33%
• Chronic Conditions 33%
• Training Support 33%
• Early Detection 33%
• Classification Performance 33%
• Smart City 33%
• Machine Learning 33%
• Motion Capture Data 33%
• E-healthcare 33%
• Simulation Data 33%
• Noise Distribution 33%
• Spectrogram 33%
• Wi-Fi 33%
• Ambient Assisted Living 33%
• Radar Measurements 33%
• Micro-Doppler 33%
• Micro-Doppler Signatures 33%
• Micro-Doppler Radar 33%
• Radar Dataset 33%
• Data-driven Simulation 33%
• Doppler Radar 33%
• Radar Technology 33%
• IEEE 802.11g 33%
• Smart Transport 33%

Computer Science

• Activity Recognition 100%
• Training Dataset 100%
• Generative Adversarial Networks 100%
• Training Data 50%
• Motion Capture 50%
• Open Source 50%
• Classification Performance 50%
• Simulation Tool 50%
• Health Condition 50%
• Focused Research 50%
• Ambient Assisted Living 50%
• Early Detection 50%
• Data-driven Simulation 50%
• Data Simulation 50%
• Internet-Of-Things 50%
• Machine Learning 50%
• Learning System 50%
• Smart City 50%

Earth and Planetary Sciences

• Radar Data 100%
• Real Time 50%
• Data Simulation 50%
• Machine Learning 50%
• Doppler Radar 50%
• Radar Measurement 50%
• Smart City 50%
• Spectrogram 50%