Lightweight Privacy-Preserving Human Activity Recognition from CSI Data using CNN-Temporal Attention Network

Puntos clave

• This research aims to enhance human activity recognition by using WiFi Channel State Information while preserving user privacy.
• Implemented a CNN-Temporal Attention Network for activity recognition from CSI data.
• Ensured privacy preservation in the data collection and processing.
• Evaluated the effectiveness of the proposed methods through real-world testing.
• Achieved significant improvements in recognition accuracy compared to traditional methods.
• Demonstrated effective privacy preservation while maintaining high performance in human activity recognition.