期刊论文详细信息
Journal of Eye Movement Research | |
Automating areas of interest analysis in mobile eye tracking experiments based on machine learning | |
Julian Wolf1  | |
关键词: mobile eye tracking; areas of interest; gaze mapping; machine learning; mask R-CNN; object detection; tangible objects; cGOM; usability; | |
DOI : 10.16910/jemr.11.6.6 | |
学科分类:自然科学(综合) | |
来源: Bern Open Publishing | |
【 摘 要 】
For an in-depth, AOI-based analysis of mobile eye tracking data, a preceding gaze assignment step is inevitable. Current solutions such as manual gaze mapping or marker-based approaches are tedious and not suitable for applications manipulating tangible o
【 授权许可】
CC BY
【 预 览 】
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RO201909021039742ZK.pdf | 764KB | download |