Towards activity recognition of learners by kinect

Takuya Kamizono, Hiromichi Abe, Kensuke Baba, Shigeru Takano, Kazuaki Murakami

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

5 Citations (Scopus)

Abstract

Understanding the states of learners at a lecture is useful for improving the quality of the lecture. A video camera with an infrared sensor Kinect has been widely studied and proved to be useful for some kinds of activity recognition. However, learners in a lecture usually do not act with large moving. This paper evaluates Kinect for use of activity recognition of learners. The authors considered four activities for detecting states of a learner, and collected the data with the activities by a Kinect. They applied K-nearest neighbor algorithm to the collected data and obtained the accuracy 0.936 of the activity recognition. The result shows that Kinect is applicable also to the activity recognition of learners in a lecture.

Original languageEnglish
Title of host publicationProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages177-180
Number of pages4
ISBN (Electronic)9781479941735
DOIs
Publication statusPublished - Sep 29 2014
Externally publishedYes
Event3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan
Duration: Aug 31 2014Sep 4 2014

Publication series

NameProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

Conference

Conference3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
CountryJapan
CityKitakyushu
Period8/31/149/4/14

ASJC Scopus subject areas

  • Information Systems

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