Misato Kasuya
| Artificial Intelligence eXploration Research Center | Project/Specially Appointed Assistant Professor |
Researcher Information
Research Keyword
Field Of Study
- Informatics, Robotics and intelligent systems
- Informatics, Perceptual information processing, 処理の流暢性，受容性
- Informatics, Intelligent robotics
- Informatics, Intelligent informatics
- Life sciences, Rehabilitation science
- Life sciences, Biomedical engineering
- Informatics, Human interfaces and interactions, チャイルドインタラクション
Career
- Apr. 2024 - Present
Tokyo Metropolitan University, 人文社会学研究科, 特任助教 - Apr. 2024 - Present
The University of Electro-Communications, Artificial Intelligence eXploration Research Center, 特任助教 - Apr. 2023 - Mar. 2024
Tokyo Metropolitan University, Department of Language Sciences Graduate School of Humanities, 特任研究員, Japan - Nov. 2021 - Mar. 2024
The University of Electro-Communications, Artificial Intelligence eXploration Research Center, 特任研究員 - Jan. 2019 - Nov. 2021
株式会社キャンパスクリエイト, 技術移転部, 産学官連携コーディネーター - Sep. 2020 - Oct. 2021
The University of Electro-Communications, Artificial Intelligence eXploration Research Center, 産学連携研究員 - Apr. 2011 - Dec. 2013
芝浦メカトロニクス株式会社, ソフトウェア設計
Research Activity Information
Award
Paper
- Investigation of Method of Presenting Robot Touched Information by Evaluating Brain Activity- Toward Implementation of Technology that Communicates Social Touch Information -
ABE Kasumi; KASUYA Misato; HIGUCHI Yoshiki; SUMIOKA Hidenobu; SHIOMI Masahiro; NAGAI Takayuki
Transactions of Japan Society of Kansei Engineering, Japan Society of Kansei Engineering, 22, 3, 273-279, 2023, More robots interact remotely with people and teleoperated robots are also being used in childcare. Effective interaction cannot be achieved unless knowing how to present the touch interaction that children perform on a daily basis for the operator. Toward future goal of this research that implementation of the technology that communicates social touch information on telepresence childcare robots, this paper reports investigation how to present touched information to an operator by evaluating brain activity. As a result, texts describing the touch situation was the most acceptable presentation method with the least brain load on the operator.
Japanese - Social Acceptance of Robots and Artificial Intelligence in Preschooler Childcare
Abe Kasumi; Shiomi Masahiro; Kasuya Misato; Nagai Takayuki
Journal of the Robotics Society of Japan, The Robotics Society of Japan, 39, 4, 371-374, 2021, Peer-reviwed, This paper reports social acceptance of a childcare support system with AI/robot through web-based survey and a field trial in Japan. The participants of both the web-based survey and the field trial showed positive attitudes toward the childcare support system with AI/robot. They also preferred a collaboration style between robots and people compared to fully autonomous/teleoperated style, although they preferred both a collaboration style and a fully autonomous style between AI and people.
Japanese - 多点型機能的電気刺激リハビリテーションシステムにおける刺激位置再現性を用いた高速な刺激パターン探索
岡野 大輔; 田澤 龍之介; 畠沢 祐輝; 粕谷 美里; 杉 正夫; 東郷 俊太; 姜 銀来; 横井 浩史
精密工学会学術講演会講演論文集, 公益社団法人 精密工学会, 2019S, 380-381, 01 Mar. 2019, 筆者らは，脳卒中における麻痺患者を対象とした，多点電極を用いた手指機能的電気刺激リハビリシステムの開発を行っている．これまでに，多点電極と双極性の刺激波形とを用いた装置によって様々な姿勢の発現を確認した．この装置は刺激の自由度が高く刺激可能な数が膨大になるため，刺激位置探索の高速化が必要である．本報では，同相な電極群の配置を限定して探索を行う．刺激パターンの再現性を考慮して異なる日の探索結果を参考にすることで，短時間で目的姿勢に適した刺激パターンを取得する．
Japanese - Development of a search method of electrode patterns for use in electrical stimulation using multichannel surface electrodes for upper limb motor function recovery in patients with paralysis
Misato Kasuya; Soichiro Morishita; Yinlai Jiang; Masao Sugi; Hiroshi Yokoi
Transactions of Japanese Society for Medical and Biological Engineering, Japan Soc. of Med. Electronics and Biol. Engineering, 55, 5, 193-204, 2017, Peer-reviwed, The incidence of limb paralysis due to cerebrovascular disorders is increasing. In the affected patients, returning to normal life is a concern that needs to be addressed. Therefore an effective treatment for recovery of motor function is required. Rehabilitation to encourage patients to perform a variety of exercises is required. One of the effective methods for recovery of motor function is repetitive facilitation of exercises. This method requires that a therapist assists a patient on a one-to-one basis. The lack of qualified personnel to assist individuals and the increased burden on the medical personnel in recent years have made rehabilitation using repetitive facilitation of exercise difficult. Therefore, it is important that we use repetitive facilitation exercises and training equipment in combination to facilitate high-quality rehabilitation for a large number of patients with paralysis. Such training equipment should allow stable performance of a variety of exercises. The purpose of this study was to develop an arm exercise function recovery system based on surface electrical stimulation using multi-channel electrodes for a patient to undergo rehabilitation without assistance at home. As the training equipment, we used functional electrical stimulation (FES) with surface electrodes, which is a non-invasive method. Stimulating a specific muscle is difficult using FES with surface electrodes. Therefore, we traced an electrode pattern including many electrode points to achieve appropriate stimulation. In the case of multichannel surface electrodes, we considered that there should be as many electrode patterns as possible. In this report, we describe an example of the method to determine the electrode pattern that can evoke finger and hand positioning using a multi-channel electrode selector “FES selector device”, by which the electrode pattern can be changed freely. We used the electrode pattern that had the highest estimated joint precision obtained by estimating joint angles using an artificial neural network. We then performed clustering of finger and hand positions based on the electrode pattern. This cluster was then used as the cluster that correlates the actual finger and hand positions with the electrode pattern. We performed clustering of the electrode pattern based on this cluster of finger and hand positions. In addition, we demonstrate in this report an example of searching the electrode pattern by clustering using the FES selector device and an artificial neural network. From this search, we identified the electrode patterns that evoked exercise, and found around 16 to 24 clusters of finger and hand positions. These findings suggest that a variety of exercises can be evoked without assistance. Based on the clustering result, we made a table of the required positions and the corresponding electrode patterns. Using this table, a patient can easily find the pattern appropriate to the desired position.
Scientific journal, Japanese - Maintenance of Muscle Contraction Improves during Dynamic Exercise by Multi-channel Functional Electrical Stimulation with Time Shifting Stimulation
Rintaro Kamihira; Misato Kasuya; Yinlai Jiang; Shunta Togo; Masao Sugi; Hiroshi Yokoi
International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB), 7, 1, 30-40, 2017, Peer-reviwed
Scientific journal - 麻痺者上肢運動再建のための多点表面電極システ ムを用いた電気刺激における電極パターン探索手法の開発
粕谷 美里; 森下 壮一朗; 姜 銀来; 杉 正夫; 横井 浩史
Lead, 生体医工学誌, 55, 5, 193-204, 2017, Peer-reviwed - The cortical adaptation monitoring system for leg press machine with FES induced biofeedback
Misato Kasuya; Mai Nozakura; Soichiro Morishita; Yinlai Jiang; Masao Sugi; Hiroshi Yokoi
Lead, XXI International Society of Electrophysiology and Kinesiology (ISEK) Congress,, 2016, Peer-reviwed
International conference proceedings
Lectures, oral presentations, etc.
- Impression Evaluation Using Brain Activity of Images Alerting to Risky Driving for a Real-Time Feedback System for Driving
Hiroyuki Kitagawa; Misato Kasuya; Kasumi Abe; Tomoaki Nakamura; Kota Washio; Shuhei Manabe
Poster presentation, Japanese, 2023年度日本認知科学会第40回大会, Peer-reviewed
07 Sep. 2023
07 Sep. 2023- 10 Sep. 2023 - Robots and AI that truly coexist with humans through nonverbal communication
Misato Kasuya
Media report, Japanese, はずれ値人材Meet Up！Vol.3, Invited
11 Dec. 2022
11 Dec. 2022- 11 Dec. 2022 - Verification of subjective evaluation and brain activity for autonomous agents with an explanation
Misato Kasuya; Kasumi Abe; Takayuki Nagai
Japanese, The 63rd Conference of Japan Human Factors and Ergonomic Society
30 Jul. 2022
30 Jul. 2022- 31 Jul. 2022 - Verification of subjective evaluation and brain activity for the explanation presented to the operator of a remote childcare support system
Misato Kasuya; Kasumi Abe; Takayuki Nagai
Oral presentation, Japanese, 日本認知心理学会第19階大会
01 Mar. 2022
28 Feb. 2022- 01 Mar. 2022 - 多点型機能的電 気刺激リハビリテーションシステムにおける刺激位置再現性を用いた高速な刺激パターン探索
岡野 大輔; 田澤 龍之介; 畠沢 祐輝; 粕谷 美里; 杉 正夫; 東郷 俊太; 姜 銀来; 横井 浩史
Oral presentation, 精密工学会 2019 年度春季大会講演論文集,
2019 - The cortical adaptation monitoring system for leg press machine with FES induced biofeedback
Misato Kasuya; Mai Nozakura; Soichiro Morishita; Yinlai Jiang; Masao Sugi; Hiroshi Yokoi
Oral presentation, XXI International Society of Electrophysiology and Kinesiology (ISEK) Congress
2016 - 多点電極による刺激位置選択可能な機能的電気 刺激システムの開発
大平 美里; 佐藤 佑樹; 森下 壮一郎; 姜 銀来; 横井 浩史
Oral presentation, 日本神経回路学会全国大会(JNNS)
2015 - 機能的電気刺激により誘発される筋活動と運動の モデル化のための相関係数に基づく距離を用いたクラスタ分析
野櫻 舞; 森下 壮一郎; 大平 美里; 姜 銀来; 横井 浩史
Oral presentation, 日本神経回路学会全国大会(JNNS)
2015 - Mono-Planar 構造色素増感太陽電池を用いた神経刺激電極の試作
大平美里; 鈴木誠一; 高橋勉
Oral presentation, 第50 回 日本生体医工学会
2011
2011 2011
Others
- Cybthlon 2016, FES bike race
Cybthlon 2016, FES bike race 出場，Zurich
https://www.nippon-foundation.or.jp/en/news/articles/2016/20161019-21094.html
2016 - 公益財団法人村田学術振興財団 研究者海外派遣援助 平成27 年度採択
公益財団法人村田学術振興財団 研究者海外派遣援助 平成27 年度採択，派遣先: World Congress
on Medical Physics and Biomedical Engineering 2015，研究課題: 機能的電気刺激を用いた膝伸展運動誘発
時のfNIRS による脳活動解析
2015
