Presentation 2023-01-26
Verification of sensory change in AR space by bounce estimation using DeepLearning
Masaya Matsukawa, Koji Yamada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Research has been conducted to realize interaction between virtual objects and real space by recognizing objects and spaces in real space in AR. In this study, we used DeepLearning to reflect the estimated bounce of an object against a plane in real space on an AR application, and compared its effect on the user experience with measured and fixed values. As a result, we could not confirm the influence on the ease of operation, although many subjects felt that the bounced objects were more realistic than the measured values.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Augmented Reality / Image Recognition / DeepLearning
Paper # CQ2022-62
Date of Issue 2023-01-19 (CQ)

Conference Information
Committee CQ
Conference Date 2023/1/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Epochal Tsukuba International Congress Center
Topics (in Japanese) (See Japanese page)
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, Machine Learning, etc.
Chair Jun Okamoto(NTT)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.)
Assistant Kimiko Kawashima(NTT) / Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(岡山理科大)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Verification of sensory change in AR space by bounce estimation using DeepLearning
Sub Title (in English)
Keyword(1) Augmented Reality
Keyword(2) Image Recognition
Keyword(3) DeepLearning
1st Author's Name Masaya Matsukawa
1st Author's Affiliation Ryukyu University(Ryukyu Univ)
2nd Author's Name Koji Yamada
2nd Author's Affiliation Ryukyu University(Ryukyu Univ)
Date 2023-01-26
Paper # CQ2022-62
Volume (vol) vol.122
Number (no) CQ-363
Page pp.pp.6-10(CQ),
#Pages 5
Date of Issue 2023-01-19 (CQ)