基于手势识别的视力检测系统的设计

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摘要 This design realizes a vision detection system, which can detect human visual acuity through gesture recognition technology. The system includes several modules: acquisition, data storage and conversion, gesture recognition and output control. And the camera, memory, display and speaker are connected externally. The visual icon "E" is displayed on the display screen, and then people use gestures to indicate the direction of "E". After the camera captures the image, the system recognizes and judges the direction of gesture, and then compares the correct direction to detect the visual acuity of people. Because the system eliminates manual detection, it is convenient, accurate and it saves manpower. The system realizes dynamic gesture interaction, being interesting and easy to be popularized.

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	张琴

关键词 ：本设计实现了一个视力检测系统, 该系统通过手势识别技术实现对人体视力检测。系统包括摄像头采集、数据存储与转换、手势识别和输出控制几个模块, 外部连接摄像头、存储器、显示器和扬声器等几个部件。显示器显示视力图标“E”, 被测者看到显示的“E”开口方向直接用手势动作确定方向, 系统通过摄像头采集图像后识别并判断手势方向, 根据对比正确开口方向检测被测者视力值。显示器最后显示被测者的实际视力值。该系统省去常规医疗的人工检测, 方便准确又节省人力, 实现动态手势交互测视力, 增添趣味性也易于推广。

Abstract：This design realizes a vision detection system, which can detect human visual acuity through gesture recognition technology. The system includes several modules: acquisition, data storage and conversion, gesture recognition and output control. And the camera, memory, display and speaker are connected externally. The visual icon "E" is displayed on the display screen, and then people use gestures to indicate the direction of "E". After the camera captures the image, the system recognizes and judges the direction of gesture, and then compares the correct direction to detect the visual acuity of people. Because the system eliminates manual detection, it is convenient, accurate and it saves manpower. The system realizes dynamic gesture interaction, being interesting and easy to be popularized.

Key words： vision detection image acquisition gesture recognition image processing

年卷期日期: 2019-03-10 出版日期: 2019-08-05

基金资助:武汉交通职业学院校级一般课题“基于手势识别的自主式视力检测研究”，项目编号：Y2017011；武汉交通职业学院科研创新团队资助项目“物联网及智慧交通”，项目编号：CX2018B01。

作者简介: 张琴（1989-），女，湖北汉川人，硕士，助教，研究方向为电子与通信工程。

引用本文:

张琴. 基于手势识别的视力检测系统的设计[J]. 电脑与电信, 2019, 1(3): 5-8.
ZHANG Qin. The Vision Detection System Based on Gesture Recognition. Computer & Telecommunication, 2019, 1(3): 5-8.

链接本文:

https://www.computertelecom.com.cn/CN/ 或 https://www.computertelecom.com.cn/CN/Y2019/V1/I3/5