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Flexible computational photodetectors for self-powered activity sensing

npj Flexible Electronics 2022年第1期6卷 45-52页

作者： Dingtian Zhang Canek Fuentes-Hernandez Raaghesh Vijayan Yang Zhang Yunzhi Li Jung Wook Park Yiyang Wang Yuhui Zhao Nivedita Arora Ali Mirzazadeh Youngwook Do Tingyu Cheng saiganesh swaminathan Thad Starner Trisha L.Andrew Gregory D.Abowd School of Interactive Computing Georgia Institute of TechnologyAtlantaGAUSA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGAUSA Department of Electrical and Computer Engineering Northeastern UniversityBostonMAUSA Department of Chemistry University of Massachusetts AmherstAmherstMAUSA Department of Electrical and Computer Engineering University of CaliforniaLos AngelesCAUSA Human-Computer Interaction Institute Carnegie Mellon UniversityPittsburghPAUSA Departments of Chemistry and Chemical Engineering University of Massachusetts AmherstAmherstMAUSA

Conventional vision-based systems,such as cameras,have demonstrated their enormous versatility in sensing human activities and developing interactive ***,these systems have long been criticized for incurring privacy,power,and latency issues due to their underlying structure of pixel-wise analog signal acquisition,computation,and *** this research,we overcome these limitations by introducing in-sensor analog computation through the distribution of interconnected photodetectors in space,having a weighted responsivity,to create what we call a computational *** photodetectors can be used to extract mid-level vision features as a single continuous analog signal measured via a two-pin *** develop computational photodetectors using thin and flexible low-noise organic photodiode arrays coupled with a self-powered wireless system to demonstrate a set of designs that capture position,orientation,direction,speed,and identification information,in a range of applications from explicit interactions on everyday surfaces to implicit activity detection.

关键词： everyday overcome photodetector

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