Deep-childar bot: Educational activities and safety care augmented reality system with deep-learning for preschool

Yoon Jung Park; Hyocheol Ro; Tack Don Han

doi:10.1145/3306214.3338589

Deep-childar bot: Educational activities and safety care augmented reality system with deep-learning for preschool

Yoon Jung Park, Hyocheol Ro, Tack Don Han

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

We propose a projection-based augmented reality (AR) robot system that provides pervasive support for the education and safety of preschoolers via a deep learning framework. This system can utilize real-world objects as metaphors for educational tools by performing object detection based on deep learning in real-time, and it can help recognize the 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.

Original language	English
Title of host publication	ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450363143
DOIs	https://doi.org/10.1145/3306214.3338589
Publication status	Published - 2019 Jul 28
Event	ACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019 - Los Angeles, United States Duration: 2019 Jul 28 → …

Publication series

Name	ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019

Conference

Conference	ACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019
Country/Territory	United States
City	Los Angeles
Period	19/7/28 → …

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.NRF-2018R1A2A1A05078628).

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Human-Computer Interaction

Access to Document

10.1145/3306214.3338589

Cite this

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abstract = "We propose a projection-based augmented reality (AR) robot system that provides pervasive support for the education and safety of preschoolers via a deep learning framework. This system can utilize real-world objects as metaphors for educational tools by performing object detection based on deep learning in real-time, and it can help recognize the 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.",

author = "Park, {Yoon Jung} and Hyocheol Ro and Han, {Tack Don}",

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Park, YJ, Ro, H & Han, TD 2019, Deep-childar bot: Educational activities and safety care augmented reality system with deep-learning for preschool. in ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019. ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019, Association for Computing Machinery, Inc, ACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019, Los Angeles, United States, 19/7/28. https://doi.org/10.1145/3306214.3338589

Deep-childar bot: Educational activities and safety care augmented reality system with deep-learning for preschool. / Park, Yoon Jung; Ro, Hyocheol; Han, Tack Don.
ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019. Association for Computing Machinery, Inc, 2019. (ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Deep-childar bot: Educational activities and safety care augmented reality system with deep-learning for preschool

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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