Intelligent metasurface imager and recognizer  被引量:35

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作  者:Lianlin Li Ya Shuang Qian Ma Haoyang Li Hanting Zhao Menglin Wei Che Liu Chenglong Hao Cheng-Wei Qiu Tie Jun Cui 

机构地区:[1]State Key Laboratory of Advanced Optical Communication Systems and Networks,Department of Electronics,Peking University,Beijing 100871,China [2]State Key Laboratory of Millimeter Waves,Southeast University,Nanjing 210096,China [3]Department of Electrical and Computer Engineering,National University of Singapore,4 Engineering Drive 3,117583 Singapore,Singapore

出  处:《Light(Science & Applications)》2019年第1期297-305,共9页光(科学与应用)(英文版)

基  金:supported by the National Key Research and Development Program of China under Grant Nos.2017YFA0700201,2017YFA0700202,and 2017YFA0700203;the National Natural Science Foundation of China under Grant Nos.61471006,61631007,and 61571117;the 111 Project under Grant No.111-2-05.

摘  要:There is an increasing need to remotely monitor people in daily life using radio-frequency probe signals.However,conventional systems can hardly be deployed in real-world settings since they typically require objects to either deliberately cooperate or carry a wireless active device or identification tag.To accomplish complicated successive tasks using a single device in real time,we propose the simultaneous use of a smart metasurface imager and recognizer,empowered by a network of artificial neural networks(ANNs)for adaptively controlling data flow.Here,three ANNs are employed in an integrated hierarchy,transforming measured microwave data into images of the whole human body,classifying specifically designated spots(hand and chest)within the whole image,and recognizing human hand signs instantly at a Wi-Fi frequency of 2.4 GHz.Instantaneous in situ full-scene imaging and adaptive recognition of hand signs and vital signs of multiple non-cooperative people were experimentally demonstrated.We also show that the proposed intelligent metasurface system works well even when it is passively excited by stray Wi-Fi signals that ubiquitously exist in our daily lives.The reported strategy could open up a new avenue for future smart cities,smart homes,human-device interaction interfaces,health monitoring,and safety screening free of visual privacy issues.

关 键 词:IMAGE SMART successive 

分 类 号:TN9[电子电信—信息与通信工程]

 

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