计算机集成制造系统 ›› 2017, Vol. 23 ›› Issue (第5期): 1103-1112.DOI: 10.13196/j.cims.2017.05.021

• 产品创新开发技术 • 上一篇    下一篇

基于群智感知服务的眼动数据众包计算

程时伟,蔡红刚,曹斌   

  1. 浙江工业大学计算机科学与技术学院
  • 出版日期:2017-05-31 发布日期:2017-05-31
  • 基金资助:
    国家重点研发计划资助项目(2016YFB1001403);国家自然科学基金资助项目(61272308,61602411);浙江省自然科学基金资助项目(LY15F020030);浙江省重点研发计划资助项目(2015C01029);杭州市重大科技专项资助项目(20152011A03)。

Crowd sensing service based eye movement data computing with crowdsourcing

  • Online:2017-05-31 Published:2017-05-31
  • Supported by:
    Project supported by the National Key Research & Development Program ,China(No.2016YFB1001403),the National Natural Science Foundation,China(No.61272308,61602411),the Zhejiang Provincial Natural Science Foundation,China(No.LY15F020030),the Key Research & Development Plan of Zhejiang Province,China(No.2015C01029),and the Hangzhou Primary Science & Technology Program,China(No.20152011A03).

摘要: 为了提高移动设备上的眼动跟踪精度和效率、降低硬件成本,提出基于注视点回忆的眼动数据计算方法来代替移动设备上的眼动跟踪。应用众包技术在群智环境下实现用户注视点回忆任务的发布,基于上下文感知服务技术进行注视点回忆任务的推荐,以提高回忆注视点精度。面向广告视觉评估设计开发了注视点回忆众包应用系统。用户测试结果表明,回忆注视点数据与眼动仪获取的真实眼动数据有较高的一致性,验证了该方法的可行性和有效性。

关键词: 眼动跟踪, 注视点回忆, 视觉注意, 众包, 上下文感知服务, 人机交互

Abstract: To improve the accuracy and efficiency of eye tracking on mobile device and to reduce the cost,a gaze recall method as a complementation for eye movement data computing on mobile device was proposed.In this method,crowdsourcing technique was applied to distribute gaze recall tasks in crowd sensing environment,and task recommendation algorithm based on context-aware service was used to improve the gaze recall accuracy.A prototype system for gaze recall on mobile device was implemented,and the result of user testing showed that the recalled gaze data were very similar to gaze data from real eye tracker,which could validate the feasibility and effect of the proposed method.

Key words: eye tracking;gaze recall, visual attention, crowdsourcing, context-aware service, human-computer interaction

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