首页> 外文期刊>International Journal of Innovative Computing Information and Control >EYE MOVEMENT AND BLINK DETECTION FOR SELECTING MENU ON-SCREEN DISPLAY USING PROBABILITY ANALYSIS BASED ON FACIAL LANDMARK
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EYE MOVEMENT AND BLINK DETECTION FOR SELECTING MENU ON-SCREEN DISPLAY USING PROBABILITY ANALYSIS BASED ON FACIAL LANDMARK

机译:使用基于面部地标的概率分析,使用基于面部地标的概率分析来选择菜单屏幕显示的眼睛运动和闪烁检测

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摘要

The menu selection on a monitor screen is usually achieved using a remote control, mobile device, mouse, touch system embedded into a monitor screen, or a keypad or keyboard. Users unable to move their limbs can still utilize their eyes as an alternative method for selecting an on-screen menu display. As a breakthrough for people with movement disabilities, computer vision allowing the detection of eye movements can be implemented as a menu selection tool of a display monitor. The detection of the eye position consists of the left, right, and middle areas. Meanwhile, as an additional necessity for the execution process, eye blinking also needs to be detected by the system. The method proposed in this study for the detection of the eye movement position during the initial step includes the segmentation process and a calculation of the probability of a white pixel analysis based on the facial landmarks. Eye blinking can be detected by calculating the value between the horizontal and vertical lines in the eye area. The proposed method for detecting eye movements in three areas (left, center, and right) achieves an average accuracy of 88.1 %. Furthermore, the average accuracy for detecting eye blinking is 90.5%.
机译:监视器屏幕上的菜单选择通常使用嵌入到监视器屏幕或键盘或键盘中的遥控器,移动设备,鼠标,触摸系统来实现。无法移动肢体的用户仍然可以将他们的眼睛用作选择屏幕菜单显示的替代方法。作为运动残疾人的突破,允许检测眼球运动的计算机视觉可以实现为显示监视器的菜单选择工具。检测眼位置包括左,右和中间区域。同时,作为执行过程的额外必要性,系统也需要通过系统来检测眼睛闪烁。本研究中提出的用于检测初始步骤期间的眼睛运动位置的方法包括分割过程和基于面部地标的白色像素分析的概率计算。通过计算眼睛区域中水平和垂直线之间的值,可以检测眼睛闪烁。在三个区域(左,中心和右)中检测眼球运动的提出方法实现了88.1%的平均精度。此外,检测眼睛闪烁的平均精度为90.5%。

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  • 作者单位

    Computer Vision Research Groups Faculty of Computer Science Brawijaya University Jl. Veteran No. 8 East Java Malang 65145 Indonesia Computer Engineering Department Faculty of Computer Science Brawijaya University Jl. Veteran No. 8 East Java Malang 65145 Indonesia;

    Computer Engineering Department Faculty of Computer Science Brawijaya University Jl. Veteran No. 8 East Java Malang 65145 Indonesia;

    Computer Engineering Department Faculty of Computer Science Brawijaya University Jl. Veteran No. 8 East Java Malang 65145 Indonesia;

    Division of Informatics and Energy Faculty of Advanced Science and Technology Kumamoto University 2-39-1 Kurokami Chuo-ku Kumamoto 860-8555 Japan;

    Department of Electrical Engineering National Institute of Technology (ITN Malang)Jl. Raya Karanglo Km 2 Malang 65153 Indonesia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Eye movement detection; Facial landmark; Eye movement; Eye-blink;

    机译:眼睛运动检测;面部地标;眼睛运动;眨眼睛;

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