Automatic Document Type Classification Using Eye Movements and EgocentricImages

LanguageJapanese
TypeJournal Articles
AuthorsYuki SHIGA, Yuzuko UTSUMI, Masakazu IWAMURA, Kai KUNZE, Koichi KISE
TitleAutomatic Document Type Classification Using Eye Movements and EgocentricImages
JournalTrans. IEICE
Vol.J99-D
No.9
Pagespp.950-958
ReviewedReviewed
DateSeptember 2016
Research fieldsReading-Life Log
DOI10.14923/transinfj.2015JDP7079
URLhttp://search.ieice.org/bin/summary.php?id=j99-d_9_950
KeyShiga2016_IEICE (id=1521)

Abstract

Reading-Life Log aims to record reading activities. Recording reading activities manually is laborious. If reading activities can be recorded automatically, people will be able to record reading activities more easily. Though we classified document categories by using egocentric images recorded with a wearable camera for the purpose of recording reading activities automatically, it requires manual cropping of document regions. In this paper, we propose an automatic document classification method. It uses not only image features but gaze features to increase classification accuracy.

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