Abstract
This paper presents a comparison of object acquisition in an HCI system using two different techniques: automatic scanning and facial feature tracking. In automatic scanning the focus moves from one object to next object automatically after a predefined time period called scanning time. Automatic scanning has been implemented by using MATLAB algorithm which virtually activates the tab key after each scanning time and the focus moves from object to object. The user activates a selection trigger for selection of the object when the focus comes over the object of interest. Whereas, in facial feature tracking approach the mouse cursor is moved in proportion to the movement of user’s face. To implement this technique Camera Mouse has been used which requires a simple webcam. It continuously takes facial images of the user and finds the mouse cursor position from the face coordinates. The two techniques are compared based upon accuracy and acquisition time for acquisition of text and graphic objects.
Highlights
A user controls computer with the help of an interface called as human computer interaction (HCI) system
This paper presents a comparison of performance of automatic scanning and face tracking techniques for object acquisition
The performance comparison of automatic scanning technique and facial feature tracking for acquisition of graphic and text objects is presented in this paper
Summary
A user controls computer with the help of an interface called as human computer interaction (HCI) system. The two important functions performed by an HCI system are object acquisition and object selection. Object acquisition refers to the movement of focus/cursor over the object to be selected and object selection means activation of a selection trigger when the focus/cursor comes over the desired object. Some of the techniques used for object acquisition are: eye gaze tracking [1], [2], face tracking [3], [4], facial feature tracking [5], scanning [6]–[9], and tongue movement [10]. Object selection can be performed by using key trigger [11], eye blinking [12], [13], dwell time trigger [14], [15], antisaccades, gaze gestures, on-off screen buttons, dashers, pEYEs [16], mouth opening click [17], tooth clicker [2], brows up clicker [8], EMG clicking [18], and clicking with smiling [19]. The major deciding factors for selection of a combination of object acquisition and selection techniques are: physical condition of a user, cost, performance, and ease of use
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