Intelligent Adaptive Adjustment Reading Shelf Based on Visual Recognition of Reading Posture
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    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.

    Reference
    Related
    Cited by
Get Citation

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

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 24,2019
  • Revised:October 15,2019
  • Adopted:
  • Online: June 12,2020
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063