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  1. Proceedings of the 1st international workshop on pervasive eye tracking & mobile eye-based interaction (PETMEI '11)
  2. Human factor affects eye movement pattern during riding motorcycle on the mountain
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Semantic analysis of mobile eyetracking data
Implementing gaze control for peripheral devices
The research framework of eye-tracking based mobile device usability evaluation
Eye tracking over small and large shopping displays
Discrimination of gaze directions using low-level eye image features
Human factor affects eye movement pattern during riding motorcycle on the mountain
Towards a more effective method for analyzing mobile eye-tracking data: integrating gaze data with object recognition algorithms
Analysing EOG signal features for the discrimination of eye movements with wearable devices
Combining gaze with manual interaction to extend physical reach
Speed-accuracy trade-off in dwell-based eye pointing tasks at different cognitive levels
Saliency-based image editing for guiding visual attention

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Human factor affects eye movement pattern during riding motorcycle on the mountain

Content Provider ACM Digital Library
Author Luo, Zhiwei Dong, Haiwei
Abstract Human's eyes are of great importance in the process of perception, cognition, movement, etc. as about 80% of information about the surrounding world comes from vision. Through analyzing the pattern of eye movement, we can make it clear how human accomplish everyday life with eyes. As human lives in the communities which are artificial environments, various man-made signs, objects and surrounding people have influence on human, particularly on eye movement pattern. To fully understand the eye movement pattern, we have to consider the human factors. This paper focuses on clarifying eye movement pattern during riding motorcycle on the mountain. We use a mobile eye mark tracking system to record the eye motion and the front view. By referring the recorded movie, eye mark analysis and fixation point analysis verify the influence from human factor. In addition, we provide suggestions to promote safe riding.
Starting Page 27
Ending Page 32
Page Count 6
File Format PDF
ISBN 9781450309301
DOI 10.1145/2029956.2029965
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-09-18
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Moving platform Eye movement pattern Human factor
Content Type Text
Resource Type Article
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