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Received:September 24, 2019 Revised:October 15, 2019
Received:September 24, 2019 Revised:October 15, 2019
中文摘要: 设计了一种能够自适应调整的智能阅读架, 该智能阅读架采用ARM Cortex-A53树莓派微处理器架构, 整机系统由阅读架终端、云端服务器和应用端用户平台3部分构成. 阅读架终端配置单目摄像头, 能实时识别读者前倾、后仰、左偏、右偏、抬头、低头以及正确的坐姿, 并能通过步进电机控制阅读架实现上下、左右角度调节, 自适应跟踪读者的阅读姿态. 此外, 智能阅读架能够将用户使用时间、阅读姿态等信息上传云端服务器, 组建用户档案库, 供用户访问. 该设计产品可以广泛推广到幼儿园及中小学、图书馆阅览室、普通家庭等场合, 帮助阅读者端正坐姿, 养成良好的阅读习惯, 社会和经济效益显著.
Abstract:A new intelligent adaptive adjustment reading shelf is designed in this study, and the application of dual CPU is adopted. In this system, the raspberry processor ARM Cortex-A53 is used to design the system. The whole system is composed of three parts: the reading shelf terminal, the cloud server, and the application end user platform. The terminal of the reading shelf is equipped with a single camera, which can recognize the reader’s forward, backward, left, right, head, bow, and correct sitting posture in real time, and can control the reading shelf up and down, right and left adjustment through controlling the rotation of the stepping motor, so as to track the reader’s posture automatically. In addition, the intelligent reading shelf can upload the users’ time, reading attitude, and other information to the cloud server and form the user archives for the users to visit. The design product can be widely applied to kindergartens, primary and secondary schools, library reading rooms, and ordinary families. It helps readers to sit upright, develop good reading habits, and achieve significant social and economic benefits.
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基金项目:广东省高等职业教育专业领军人才项目(张永亮)
引用文本:
张永亮,安超群,潘必超,陈榕福,李凌.基于阅读姿态视觉识别与自适应调整的智能阅读架.计算机系统应用,2020,29(6):112-120
ZHANG Yong-Liang,AN Chao-Qun,PAN Bi-Chao,CHEN Rong-Fu,LI Ling.Intelligent Adaptive Adjustment Reading Shelf Based on Visual Recognition of Reading Posture.COMPUTER SYSTEMS APPLICATIONS,2020,29(6):112-120
张永亮,安超群,潘必超,陈榕福,李凌.基于阅读姿态视觉识别与自适应调整的智能阅读架.计算机系统应用,2020,29(6):112-120
ZHANG Yong-Liang,AN Chao-Qun,PAN Bi-Chao,CHEN Rong-Fu,LI Ling.Intelligent Adaptive Adjustment Reading Shelf Based on Visual Recognition of Reading Posture.COMPUTER SYSTEMS APPLICATIONS,2020,29(6):112-120