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Poster
:
26. Deep-ChildAR Bot: Educational Activities and Safety Care Augmented Reality System With Deep-Learning for Preschool
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Session TimeSunday, 28 July 20191:30pm - 5:30pmMonday, 29 July 201912:15pm - 1:15pmWednesday, 31 July 201912:15pm - 1:15pm
LocationSouth Hall J
DescriptionPOSTER SESSIONS: MONDAY, 29 JULY and WEDNESDAY, 31 JULY, 12:15-1:15 PM

We propose a projection-based augmented reality robot system that provides pervasive support for the education and safety of preschoolers via a deep learning framework. This system utilizes real-world objects as metaphors for educational tools by performing real-time object detection based on deep learning, and it recognizes dangers of real-world objects that may pose risks to children. We designed the system in a simple and intuitive way to provide user-friendly interfaces and interactions for children. Children's experiences through the proposed system can improve their physical, cognitive, emotional, and thinking abilities.
Contributors
YoonJung Park
Yonsei University
Media System Lab
Hyocheol Ro
Yonsei university
Tack-Don Han
Yonsei University
Photography and Recording Policies
P/V Yes
Interest Areas
Gaming & Interactive
New Technologies
Research & Education
Registration Levels
XP
F
FP
S
B
E

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