Rchr
J-GLOBAL ID:200901055043805948   Update date: Apr. 10, 2024

Ueda Etsuko

ウエダ エツコ | Ueda Etsuko
Affiliation and department:
Job title: President
Research field  (5): Mechanics and mechatronics ,  Robotics and intelligent systems ,  Intelligent robotics ,  Perceptual information processing ,  Information theory
Research keywords  (4): ヒューマンインターフェース ,  ロボットビジョン ,  Human Interface ,  Robot Vision
Research theme for competitive and other funds  (20):
  • 2022 - 2025 Proposal of a Method for Quantifying the Effectiveness of Programming Education Using Robots for Elementary, Junior High, and High School Students
  • 2020 - 2022 意味・感情の身体表現のエッセンスを探る -ロボットを用いた検証と応用-
  • 2018 - 2020 Bio-Acoustic Sensing using Body-Conducted Sound
  • 2017 - 2020 Modeling of "grace" characteristics based on dance motion -Motion and Form-
  • 2016 - 2019 Estimation of age-dependent degradation using the nonverbal characteristics of daily conversation
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Papers (19):
  • Yuki Inazu, Yuya Tsukigata, Etsuko Ueda, Kenichi Iida, Kentaro Takemura, Takayuki Nakamura, Masanao Koeda. Extraction of the graceful feature from classical dance motion focused on dancer’s perspective. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. 11581 LNCS. 170-181
  • Yuki Inazu, Yuya Tsukigata, Etsuko Ueda, Kenichi Iida, Kentaro Takemura, Takayuki Nakamura, Masanao Koeda. Extraction of the Graceful Feature from Classical Dance Motion Focused on Dancer's Perspective. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion - 10th International Conference. 2019. 170-181
  • Makoto Ikawa, Etsuko Ueda, Akishige Yuguchi, Gustavo Alfonso Garcia Ricardez, Ming Ding 0002, Jun Takamatsu, Tsukasa Ogasawara. Quantification of Elegant Motions for Receptionist Android Robot. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design - 8th International Conference. 2017. 435-446
  • Masanao Koeda, Daiki Sugimoto, Etsuko Ueda. Classification of synchronous non-parallel shuffling walk for humanoid robot. Communications in Computer and Information Science. 2017. 714. 374-381
  • Masanao Koeda, Daiki Sugimoto, Etsuko Ueda. Classification of Synchronous Non-parallel Shuffling Walk for Humanoid Robot. HCI International 2017 - Posters' Extended Abstracts - 19th International Conference. 2017. 374-381
more...
MISC (17):
  • 中原 千里, 米崎 麻純, 窪田 大輝, 小杉 真一, 川手 健次, 寺西 朋裕, 武内 亜紀子, 松井 満政, 池田 篤俊, 上田 悦子, et al. 深度センサを用いた転倒転落防止システムの試用調査. 奈良県西和医療センター医学雑誌. 2018. 7. 1. 43-45
  • HATANAKA Ryota, UEDA Etsuko, IIDA Kenichi, TAKEMURA Kentaro, KOEDA Masanao, NAKAMURA Takayuki. Analysis of arm and hand movement in classical dance motion for quantification of grace. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017. 2017. 0. 1P2-L01
  • 中原 千里, 飯田 めぐみ, 米崎 麻純, 小杉 真一, 池田 篤俊, 上田 悦子, 中村 恭之. 深度センサを用いた転倒転落防止システムの実態調査. 医療の質・安全学会誌. 2016. 11. Suppl. 232-232
  • 小杉 真一, 池田 篤俊, 小笠原 司, 音田 恭宏, 上田 悦子, 田中 康仁. 深度センサを用いた転倒転落防止システムの開発. The Japanese Journal of Rehabilitation Medicine. 2015. 52. 2. 152-152
  • MAEGAWA Hiroaki, Nakamura Takayuki, UEDA Etsuko, IKEDA Atsutoshi, OGASAWARA Tsukasa. 2A2-U05 Development of Low-cost Patient "MIMAMORT" Device : Classification of patient's state based on a depth image using a deep neural network. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2015. 2015. 0. _2A2-U05_1-_2A2-U05_3
more...
Books (1):
  • Win32 API完壁マスタ(共著)
    CQ出版社 2001
Education (4):
  • - 2003 Nara Institute of Science and Technology Graduate School of Information Science
  • - 2001 Nara Institute of Science and Technology Graduate School, Division of Information Science
  • - 1999 Nara National College of Technology Advanced Electronic and Information Engineering Course
  • - 1999 Nara National College of Technology
Professional career (1):
  • Doctor of Engineering (Nara Institute of Science and Technology)
Awards (1):
  • 2005 - IEEE関西支部学生研究奨励賞
Association Membership(s) (3):
THE ROBOTICS SOCIETY OF JAPAN ,  IEEE ,  IEEE
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