WiFi-TCN: Temporal Convolution for Human Interaction Recognition Based on WiFi Signal

Keyphrases

• Wi-Fi 100%
• Recognition-based 100%
• Temporal Convolutional Network 100%
• Human Activity Recognition 100%
• WiFi Signals 100%
• Human Interaction Recognition 100%
• WiFi-based 75%
• Computational Accuracy 25%
• Computational Efficiency 25%
• Diverse Environment 25%
• Healthcare 25%
• Training Data 25%
• Computationally Efficient 25%
• Sensor Systems 25%
• Convolutional Neural Network 25%
• Attention Mechanism 25%
• State-of-the-art Techniques 25%
• Accuracy Improvement 25%
• Cost-effectiveness 25%
• Computationally Intensive 25%
• Transformer 25%
• Non-intrusive 25%
• Data Augmentation 25%
• Public Dataset 25%
• Indoor Environment 25%
• Convolutional Layer 25%
• Training Model 25%
• Elderly Care 25%
• Healthcare Monitoring 25%
• Seq2Seq Model 25%
• Augmentation Techniques 25%
• Neural Sequences 25%
• Broad Adoption 25%
• Signal Variability 25%
• LSTM-GRU 25%

Computer Science

• Human Interaction 100%
• Human Activity Recognition 100%
• Temporal Convolutional Network 100%
• Seq2Seq 50%
• Long Short-Term Memory Network 25%
• Training Data 25%
• Attention (Machine Learning) 25%
• Computational Efficiency 25%
• Data Augmentation 25%
• Convolutional Layer 25%
• Training Model 25%
• Convolutional Neural Network 25%
• Conventional Model 25%