Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks

Einoshin Suzuki, Shin Ando, Yutaka Deguchi, Hiroaki Ogata, Tetsu Matsukawa, Masanori Sugimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present our plan for constructing a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks. Unipolar depression makes a large contribution to the burden of disease, being at the first place in middle- and high-income countries. We survey descriptors of depressions and then design a data collection platform in a classroom based on the assumption that such descriptors are also effective to students with depression risks. Visual, acoustic, and e-learning data are chosen for collection and various issues including devices, preprocessing, and consent agreements are investigated. We also show two kinds of utilization scenarios of the collected data and introduce several techniques and methods we developed for feature extraction and early detection.

Original languageEnglish
Title of host publication8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450334525
DOIs
Publication statusPublished - Jul 1 2015
Event8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Corfu, Greece
Duration: Jul 1 2015Jul 3 2015

Publication series

Name8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Proceedings

Other

Other8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015
CountryGreece
CityCorfu
Period7/1/157/3/15

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

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