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Full-time wearable headphone-type gaze detector
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Source Conference on Human Factors in Computing Systems archive
CHI '06 extended abstracts on Human factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Work-in-progress table of contents
Pages: 1073 - 1078  
Year of Publication: 2006
ISBN:1-59593-298-4
Authors
Hiroyuki Manabe  NTT DoCoMo, Inc., Yokosuka, Kanagawa, Japan
Masaaki Fukumoto  NTT DoCoMo, Inc., Yokosuka, Kanagawa, Japan
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

A headphone-type gaze detector for a full-time wearable interface is proposed. It uses a Kalman filter to analyze multiple channels of EOG signals measured at the locations of headphone cushions to estimate gaze direction. Evaluations show that the average estimation error is 4.4® (horizontal) and 8.3® (vertical), and that the drift is suppressed to the same level as in ordinary EOG. The method is especially robust against signal anomalies. Selecting a real object from among many surrounding ones is one possible application of this headphone gaze detector.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Hiroyuki Manabe: colleagues
Masaaki Fukumoto: colleagues