Improving usability for video analysis using gaze-based interaction

被引：2
|
作者：
Hild, Jutta [1 ]
Peinsipp-Byma, Elisabeth [1 ]
Klaus, Edmund [1 ]
机构：
[1] Fraunhofer Inst Optron Syst Technol & Image Explo, D-76131 Karlsruhe, Germany
来源：
FULL MOTION VIDEO (FMV) WORKFLOWS AND TECHNOLOGIES FOR INTELLIGENCE, SURVEILLANCE, AND RECONNAISSANCE (ISR) AND SITUATIONAL AWARENESS | 2012年 / 8386卷
关键词：
Full motion video analysis; human-computer interaction; input devices and strategies; eye tracking; moving target selection; gaze behavior analysis;
D O I：
10.1117/12.919042
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this contribution, we propose the use of eye tracking technology to support video analysts. To reduce workload, we implemented two new interaction techniques as a substitute for mouse pointing: gaze-based selection of a video of interest from a set of video streams, and gaze-based selection of moving targets in videos. First results show that the multi-modal interaction technique gaze + key press allows the selection of fast moving objects in a more effective way. Moreover, we discuss further application possibilities like gaze behavior analysis to measure the analyst's fatigue, or analysis of the gaze behavior of expert analysts to instruct novices.
引用
收藏
页数：10
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