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http://dx.doi.org/10.6109/jkiice.2017.21.4.737

Development of facial recognition application for automation logging of emotion log  

Shin, Seong-Yoon (School of Computer Information & Communication Engineering, Kunsan National University)
Kang, Sun-Kyoung (Department of Computer Software Engineering, Wonkwang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.4, 2017 , pp. 737-743 More about this Journal
Abstract
The intelligent life-log system proposed in this paper is intended to identify and record a myriad of everyday life information as to the occurrence of various events based on when, where, with whom, what and how, that is, a wide variety of contextual information involving person, scene, ages, emotion, relation, state, location, moving route, etc. with a unique tag on each piece of such information and to allow users to get a quick and easy access to such information. Context awareness generates and classifies information on a tag unit basis using the auto-tagging technology and biometrics recognition technology and builds a situation information database. In this paper, we developed an active modeling method and an application that recognizes expressionless and smile expressions using lip lines to automatically record emotion information.
Keywords
Intelligent; Auto-Tagging; expression recognition; context-awareness; Active Shape Model; emotion log;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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