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Object acquisition and selection using automatic scanning and eye blinks in an HCI system
Journal on Multimodal User Interfaces ( IF 2.2 ) Pub Date : 2019-04-25 , DOI: 10.1007/s12193-019-00303-0
Hari Singh , Jaswinder Singh

This paper presents an object acquisition and selection approach in human computer interaction systems. In this approach, objects placed over computer screen are automatically scanned and the user performs voluntary eye blinks for object selection when the focus comes over the object of interest. Here, scanning means moving the focus over objects placed on the computer screen one by one and the scanning time is the time taken to move focus from one object to the next object. The user is not required to perform any physical movement, the moving part is only the eye lids. A low cost webcam and MATLAB software with computer vision toolbox are required to implement the proposed approach. The performance of the proposed approach has been compared with the Camera Mouse for selection of text and graphic objects. The Camera Mouse utilizes facial feature tracking for mouse cursor control and dwell time for object selection. Three experiments were performed for evaluation of the proposed method in which ten healthy users voluntarily participated. The proposed method has given significantly better performance than the Camera Mouse when selection of text objects was performed in an html file. For selection of graphic objects placed on computer screen, where page scrolling is not required, no significant difference has been found in the performance of both the systems. The proposed method has also been evaluated for performing mouse analogous operations using eye blinks and a performance comparison has been made with state-of-the-art methods.

中文翻译:

在HCI系统中使用自动扫描和眨眼来获取和选择对象

本文提出了一种人机交互系统中的对象获取和选择方法。用这种方法,当焦点移到感兴趣的对象上时,将自动扫描放置在计算机屏幕上的对象,并且用户自愿进行眨眼以选择对象。在此,扫描是指将焦点一一移动到放置在计算机屏幕上的对象上,而扫描时间是将焦点从一个对象移动到下一个对象所花费的时间。不需要用户进行任何身体运动,运动部分仅仅是眼睑。需要低成本的网络摄像头和带有计算机视觉工具箱的MATLAB软件来实施该方法。所建议的方法的性能已与“摄像机鼠标”进行了比较,以选择文本和图形对象。相机鼠标利用面部特征跟踪进行鼠标光标控制,并使用停留时间进行对象选择。进行了三个实验,以评估该方法的有效性,其中有十名健康用户自愿参加。当在html文件中选择文本对象时,所建议的方法具有比“相机鼠标”更好的性能。对于不需要滚动页面的计算机屏幕上放置的图形对象的选择,两个系统的性能均未发现明显差异。还对提出的方法进行了评估,以使用眨眼来执行鼠标类似操作,并且使用最新技术进行了性能比较。进行了三个实验,以评估该方法的有效性,其中有十名健康用户自愿参加。当在html文件中选择文本对象时,所建议的方法具有比“相机鼠标”更好的性能。对于不需要滚动页面的计算机屏幕上放置的图形对象的选择,两个系统的性能均未发现明显差异。还对提出的方法进行了评估,以使用眨眼来执行鼠标类似操作,并且使用最新技术进行了性能比较。进行了三个实验,以评估该方法的有效性,其中有十名健康用户自愿参加。当在html文件中选择文本对象时,所建议的方法具有比“相机鼠标”更好的性能。对于不需要滚动页面的计算机屏幕上放置的图形对象的选择,两个系统的性能均未发现明显差异。还对提出的方法进行了评估,以使用眨眼来执行鼠标类似操作,并且使用最新技术进行了性能比较。对于不需要滚动页面的计算机屏幕上放置的图形对象的选择,两个系统的性能均未发现明显差异。还对提出的方法进行了评估,以使用眨眼来执行鼠标类似操作,并且使用最新技术进行了性能比较。对于不需要滚动页面的计算机屏幕上放置的图形对象的选择,两个系统的性能均未发现明显差异。还对提出的方法进行了评估,以使用眨眼来执行鼠标类似操作,并且使用最新技术进行了性能比较。
更新日期:2019-04-25
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