Wearable Perovskite‐Based Shadow Recognition Sensor for Ambient and Nonobtrusive Human–Computer Interaction. (26th November 2022)

• Record Type: Journal Article
• Authors: Wu, Tingqing; Huang, Zengqi; Li, Lin; Sun, Wei; Xue, Tangyue; Pan, Qi; Xie, Hongfei; Chen, Sisi; Guo, Lutong; Chi, Jimei; Wang, Huadong; Zhang, Zeying; Han, Teng; Su, Meng; Song, Yanlin
• Is Part Of: Advanced intelligent systems. Volume 5:Number 1(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-11-26
• Subjects: ambient light detection -- multichannel identification -- perovskites -- self-driven nucleation -- sensorless interaction; Artificial intelligence -- Periodicals; Robotics -- Periodicals; Control theory -- Periodicals; 006.3
• DOI: 10.1002/aisy.202200307
• Languages: English
• ISSNs: 2640-4567

Abstract

Abstract : Driven by the Internet of Everything, one of the main goals in human–computer interaction is to achieve intuitive, effortless, and easy‐to‐learn communication. Thus, senseless optoelectronic devices with high response performance under ambient environment have an extensive application space in improving the interfacing between users and computers. Herein, a concept of wearable perovskite‐based shadow recognition sensor is demonstrated for ambient and nonobtrusive human–computer interaction. The multidimensional ordered nucleation and growth of perovskite crystals are promoted by introducing the self‐driving effect of liquid crystal (LC) oligomers. The resulted LC‐doped perovskite film (LC‐PVK) with micrometer‐sized grains can output relatively high photocurrent under indoor ambient light (≈500 lux). The LC‐based device exhibits over a hundred times of on–off ratio and fast response of millisecond level even after storage for more than 1200 h. The device also shows an ultratrace Pb 2+ leakage of 1.02 μg L −1 in water, and still retains more than 90% of the photocurrent intensity after thousands of bending strains. Accordingly, a novel human–computer interaction is achieved by identifying external action commands with the recognition of shadows, which can provide a "haptic" perception for robots. Abstract : A wearable perovskite‐based shadow recognition sensor is demonstrated for realizing nonobtrusive human–computer interaction under indoor ambient light (≈500 lux). The real‐time accurate perception of shadow is attributed to the formation of the high‐quality thick perovskite film using liquid crystal oligomers as self‐driven nucleation templates. A high accuracy rate of 95% is achieved for recognizing human gesture actions.