Revolutionizing Activity Recognition Through Walls with Deep Learning

• Published in: 2025 2nd International Conference on Microwave, Antennas & Circuits (ICMAC) pp. 1 - 3
• Main Authors: Hameed, Hira, Lubna, Liaqat, Sidra, Fatima, Aisha, Assaleh, Khaled, Arshad, Kamran, Abbasi, Qammer H., Imran, Muhammad
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.04.2025
• Subjects: Accuracy; Data models; Deep learning; Deep Learning (DL); Integrated circuit modeling; micro Doppler signatures; Radio Frequency-sensing; Radiofrequency identification; Sensors; Spectrogram; Training; Ultra wideband radar; Video sequences

This study introduces a novel approach to human activity recognition through walls, utilizing a non-invasive sensing system powered by advanced deep learning (DL) algorithms. Conventional activity detection techniques typically depend on cameras, which pose privacy challenges, are influenced by ligh...