Rchr
J-GLOBAL ID：201801021269353118
Update date: Jun. 26, 2024
Sato Hironobu
サトウ ヒロノブ | Sato Hironobu
Affiliation and department：
Other affiliations (1)：
Research field (3)：
Software
, Educational technology
, Rehabilitation science
Papers (32)：
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Hironobu Sato, Kiyohiko Abe, Shogo Matsuno, Minoru Ohyama. Performance Improvement of 3D-CNN for Blink Types Classification by Data Augmentation. IEEJ Transactions on Electronics, Information and Systems. 2024. 144. 4. 328-329
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Hironobu Sato, Kiyohiko Abe, Shogo Matsuno, Minoru Ohyama. Detailed Analysis of Blink Types Classification Using a 3D Convolutional Neural Network. IEEJ Transactions on Electronics, Information and Systems. 2023. 143. 9. 971-978
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Hironobu Sato, Kiyohiko Abe, Shogo Matsuno, Minoru Ohyama. Performance Improvement of 3D-CNN for Blink Types Classification by Data Augmentation. The Twenty-Eighth International Symposium on Artificial Life and Robotics 2023 (AROB 28th 2023). 2023. 1283-1287
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Hironobu Sato, Kiyohiko Abe, Shogo Matsuno, Minoru Ohyama. Blink State Classification Using a 3D Convolutional Neural Network. The Twenty-Seventh International Symposium on Artificial Life and Robotics 2022 (AROB 27th 2022). 2022. 1413-1417
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Hironobu Sato, Kiyohiko Abe, Shogo Matsuno, Minoru Ohyama. Blink input interface enabling multiple candidate selection through sound feedback. Artificial Life and Robotics. 2021. 26. 3. 312-317
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MISC (3)：
Lectures and oral presentations (31)：
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A remote experiment system for eye-gaze input interface
(電気学会電子・情報・システム部門大会(Web) 2021)
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Blink Types Classification by 3D Convolutional Neural Network
(電気学会電子・情報・システム部門大会(Web) 2021)
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音声フィードバックを用いた多肢選択瞬目入力の検討
(2019年電気学会電子・情報・システム部門大会 2019)
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畳み込みニューラルネットワークによる開眼閉眼状態の識別
(平成30年電気学会電子・情報・システム部門大会 2018)
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瞬目種類識別のための複数の特徴パラメータに関する検討
(平成30年電気学会電子・情報・システム部門大会 2018)
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Professional career (1)：
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