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 language | English |
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Pages | 177-180 |
Number of pages | 4 |
DOIs | |
Publication status | Published - Sep 29 2014 |
Externally published | Yes |
Event | 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan Duration: Aug 31 2014 → Sep 4 2014 |
Conference
Conference | 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 |
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Country/Territory | Japan |
City | Kitakyushu |
Period | 8/31/14 → 9/4/14 |
ASJC Scopus subject areas
- Information Systems