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.
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页数：10
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