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- TOYOURA Masahiro
- University of Yamanashi
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- TANAKA Takumi
- University of Yamanashi
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- SUGIURA Atsushi
- University of Yamanashi
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- MAO Xiaoyang
- University of Yamanashi
Bibliographic Information
- Other Title
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- Improving Eye Tracking Accuracy by Head Motion History
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Abstract
<p>We focus on eye tracking by head motion. This type of eye tracking does not provide the most accurate results, but it does not require a user to wear cumbersome sensors like cameras on glasses. The approach works for many applications, such as the extraction of human attention by surveillance camera or an intuitive interface for tablet devices. Through a preliminary experiment, we confirmed that head direction is often largely different from eye direction. We propose to estimate accurate eye direction by using head motion history. A sequence of head directions and the differentials provide richer information than head direction at one moment. Using multiple regression analysis (MRA) and dynamic coupled component analysis (DCCA), we examined the relationship between eye direction and head motion history, and reduced the error rate by 7.2% and 0.8% on average.</p>
Journal
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- IIEEJ Transactions on Image Electronics and Visual Computing
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IIEEJ Transactions on Image Electronics and Visual Computing 5 (2), 92-98, 2017-12-15
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001288046039936
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- NII Article ID
- 130007402239
- 40021500076
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- NII Book ID
- AA12661628
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- ISSN
- 21881901
- 2188191X
- 21881898
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- NDL BIB ID
- 028895463
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed