The team of Professor Li Lianlin of Peking University and Professor Cui Tiejun of Southeast University have established a new framework (as shown in Figure a) of intelligent electromagnetic sensing by organically combining artificial materials (information metamaterials) and artificial intelligence. Several intelligent sensing systems with high efficiency, low energy consumption and low cost have been developed.

They combined information metamaterials with classic machine learning methods to develop a 3.2 GHz intelligent sensing system, which realized microwave imaging with a kHz frame rate (as shown in Figure b).

Through a 2.2 square meter information metamaterial to control the ubiquitous 2.4 GHz Wi-Fi signal in the indoor space, and combined with three self-developed deep learning networks for real-time data processing, the 2.4 GHz intelligent sensing system they developed realizes high-performance microwave imaging, body language recognition, vital signs monitoring and wireless communication (as shown in Figure c and Figure d). This provides new ideas for changing future detection and imaging, communication, human-computer interaction, etc.

 (a) Schematic diagram of intelligent sensing principle for smart home applications         

 (b) Imaging results of the intelligent sensing system driven by classic machine learning 

 (c) Imaging, hand-sign recognition and respiration monitoring results of the intelligent sensing system driven by deep learning 

 (d) Passive communication result of the intelligent sensing system