Yuto Omae 大前佑斗

Researcher Number	00781874
Other IDs
Affiliation (Current)	2020: 日本大学, 生産工学部, 助教
Affiliation (based on the past Project Information) *help	2019 – 2020: 日本大学, 生産工学部, 助教 2017 – 2019: 東京工業高等専門学校, 電気工学科, 助教
Review Section/Research Field	Principal Investigator Sports science / Basic Section 59020:Sports sciences-related Except Principal Investigator Science education / Basic Section 09080:Science education-related / Basic Section 62030:Learning support system-related
Keywords	Principal Investigator スポーツ工学 / 機械学習 / 深層学習 / 人工知能 / 競泳 / スポーツ / ディープラーニング / 慣性センサ / アルゴリズム / スポーツ科学 … More Except Principal Investigator … More

アクティブ・ラーニングにおける振り返り分析支援システムの構築Ongoing
- Principal Investigator
  
  大島崇行
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 09080:Science education-related
- Research Institution
  Joetsu University of Education
Development of Portfolio System to Support Distance Active Learning by using Artificial IntelligenceOngoing
- Principal Investigator
  
  高橋弘毅
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62030:Learning support system-related
- Research Institution
  Nagaoka University of Technology
Deep Learning for Extraction of Sports Trainer's KnowledgePrincipal InvestigatorOngoing
- Principal Investigator
  
  大前佑斗
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 59020:Sports sciences-related
- Research Institution
  Nihon University
A method to evaluate swimming performance based on deep learning and a single inertial sensorPrincipal Investigator
- Principal Investigator
  
  Yuto Omae
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Sports science
- Research Institution
  Tokyo National College of Technology
Development of experimental training materials in early engineer education for students with various disabilities
- Principal Investigator
  
  Nishimura Makoto
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Science education
- Research Institution
  Tokyo National College of Technology

All 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] The Science of Swimming and Aquatic Activities, Chapter 17. Human Activity Analysis on Swimming Based on Machine Learning, Signal Processing and Inertial Measurement Unit2018
- Author(s)
  Yuto Omae, Hirotaka Takahashi
- Total Pages
  33
- Publisher
  Nova Science Pub Inc
- ISBN
  9781536140286
- Data Source
  KAKENHI-PROJECT-17K13179
[Journal Article] Detection of Swimming Stroke Start Timing by Deep Learning from an Inertial Sensor2020
- Author(s)
  Yuto Omae, Masahiro Kobayashi, Kazuki Sakai, Takuma Akiduki, Akira Shionoya and Hirotaka Takahashi
- Journal Title
  
  ICIC Express Letters, Part B Applications
  
  Volume: 11(3) Pages: 245-251
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20062
[Journal Article] Classification of Human Gait Acceleration Data Using Convolutional Neural Networks2020
- Author(s)
  Daniel Kreuter, Hirotaka Takahashi, Yuto Omae, Takuma Akiduki, Zhang, Zhong
- Journal Title
  
  International Journal of Innovative Computing, Information and Control
  
  Volume: 16(2) Pages: 609-619
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20062
[Journal Article] Estimation Method of Turn Section During Swimming by Using Ensemble Learning and Single Inertial Sensor2019
- Author(s)
  小林幹京, 大前佑斗, 酒井一樹, 秋月拓磨, 塩野谷明, 高橋弘毅
- Journal Title
  
  J. SOFT
  
  Volume: Vol.31 No.1 Issue: 1 Pages: 597-602
- DOI
  10.3156/jsoft.31.1_597
- NAID
  130007594758
- ISSN
  1347-7986, 1881-7203
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K05437, KAKENHI-PROJECT-16K06156, KAKENHI-PROJECT-17K13179
[Journal Article] Consideration of Human Motion’s Individual Differences-Based Feature Space Evaluation Function for Anomaly Detection2019
- Author(s)
  Masaya Mori, Yuto Omae, Takuma Akiduki, Hirotaka Takahashi
- Journal Title
  
  International Journal of Innovative Computing, Information and Control
  
  Volume: 15 Pages: 783-791
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K13179
[Journal Article] A Novel Deep Learning Optimization Algorithm for Human Motions Anomaly Detection2019
- Author(s)
  Yuto Omae, Masaya Mori, Takuma Akiduki, Hirotaka Takahashi
- Journal Title
  
  International Journal of Innovative Computing, Information and Control
  
  Volume: 15 Pages: 199-208
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K13179
[Journal Article] Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Inertial Measurement Unit2018
- Author(s)
  Yuto Omae, Yoshihisa Kon, Masahiro Kobayashi, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi, Takuma Akiduki, Kazufumi Nakai, Nobuo Ezaki, Yoshihisa Sakurai, Chikara Miyaji
- Journal Title
  
  J. Adv. Comput. Intell. Intell. Inform.
  
  Volume: Vol.21 No.4 Issue: 4 Pages: 616-631
- DOI
  10.20965/jaciii.2017.p0616
- NAID
  130007520109
- ISSN
  1343-0130, 1883-8014
- Year and Date
  2018-11-20
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K05437, KAKENHI-PROJECT-17K13179
[Journal Article] Feature Selection Algorithm Considering Trial and Individual Differences for Machine Learning of Human Activity Recognition2018
- Author(s)
  Yuto Omae, Hirotaka Takahashi
- Journal Title
  
  J. Adv. Comput. Intell. Intell. Inform.
  
  Volume: Vol.21 No.5 Issue: 5 Pages: 813-824
- DOI
  10.20965/jaciii.2017.p0813
- NAID
  130007520105
- ISSN
  1343-0130, 1883-8014
- Year and Date
  2018-11-20
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K05437, KAKENHI-PROJECT-17K13179
[Journal Article] Swimming Motion Classification for Coaching System by using a Sensor Device2018
- Author(s)
  Masahiro Kobayashi, Yuto Omae, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi, Takuma Akiduki, Kazufumi Nakai, Nobuo Ezaki, Yoshihisa Sakurai, Chikara Miyaji
- Journal Title
  
  ICIC Express Letters, Part B Applications
  
  Volume: 9 Pages: 209-217
- NAID
  40021546653
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] ニューラルネットワークを活用した個人投資家のリスク選好と意思決定の分析2020
- Author(s)
  家富紗妃, 野澤裕基, 大前佑斗
- Organizer
  電子情報通信学会ソフトウェアインタプライズ研究会
- Data Source
  KAKENHI-PROJECT-19K20062
[Presentation] Detection of Swimming Stroke Start Timing by Deep Learning from an Inertial Sensor2019
- Author(s)
  Yuto Omae, Masahiro Kobayashi, Kazuki Sakai, Takuma Akiduki, Akira Shionoya, Hirotaka Takahashi
- Organizer
  Proceedings of the 14th International Conference on Innovative Computing, Information and Control
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20062
[Presentation] ディープラーニングと単一慣性センサを用いた競泳指導サポートシステム: プロトタイプ構築2019
- Author(s)
  大前佑斗, 小林幹京, 酒井一樹, 秋月拓磨, 塩野谷明, 高橋弘毅
- Organizer
  第35回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-19K20062
[Presentation] Classification of Human Gait Acceleration Data Using Convolutional Neural Networks2019
- Author(s)
  Daniel Kreuter, Hirotaka Takahashi, Yuto Omae, Takuma Akiduki, Zhang Zhong
- Organizer
  Proceedings of the 14th International Conference on Innovative Computing, Information and Control
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20062
[Presentation] 畳込みニューラルネットワークと慣性センサによる運動支援システムの構築2018
- Author(s)
  森雅也, 大前佑斗
- Organizer
  情報処理学会第80回全国大会
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] 単一慣性センサとアンサンブル学習を活用したターン区間の推定2018
- Author(s)
  小林幹京, 大前佑斗, 酒井一樹, 秋月拓磨, 塩野谷明, 高橋弘毅
- Organizer
  第34回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] 身体動作の異常値検知問題におけるCHI-FS評価関数の信頼性の検証2018
- Author(s)
  森雅也, 秋月拓磨, 高橋弘毅, 大前佑斗
- Organizer
  情報処理学会第80回全国大会
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] Estimation Method of Turn Section by Ensemble Learning for Swimming Motion Coaching System2018
- Author(s)
  Masahiro Kobayashi, Yuto Omae, Kazuki Sakai, Takuma Akiduki, Akira Shionoya, Hirotaka Takahashi
- Organizer
  The 7th International GIGAKU Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] A Novel Deep Learning Optimization Algorithm for Human Motions Anomaly Detection2018
- Author(s)
  Yuto Omae, Masaya Mori, Takuma Akiduki, Hirotaka Takahashi
- Organizer
  The 13th International Conference on Innovative Computing, Information and Control (ICICIC2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] Consideration of Human Motion's Individual Differences-based Feature Space Evaluation Function for Anomaly Detection2018
- Author(s)
  Masaya Mori, Yuto Omae, Takuma Akiduki, Hirotaka Takahashi
- Organizer
  The 13th International Conference on Innovative Computing, Information and Control (ICICIC2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] 身体動作の個人差に対してロバストな特徴量空間評価関数の提案2017
- Author(s)
  森雅也, 秋月拓磨, 高橋弘毅, 大前佑斗
- Organizer
  電子情報通信学会技術研究報告（パターン認識・メディア理解研究会）
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] 深層学習と慣性センサを活用した個別ストローク動作開始タイミングの推定手法2017
- Author(s)
  大前佑斗, 小林幹京, 酒井一樹, 塩野谷明, 高橋弘毅, 宮地力, 櫻井義久, 中井一文, 江崎修央, 秋月拓磨
- Organizer
  電子情報通信学会技術研究報告（パターン認識・メディア理解研究会）
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] Swimming Motion Classification for Coaching System by Using a Sensor Device2017
- Author(s)
  Masahiro Kobayashi, Yuto Omae, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi Takuma Akiduki, Kazufumi Nakai, Nobuo Ezaki, Yoshihisa Sakurai, Chikara Miyaji
- Organizer
  The 12th International Conference on Innovative Computing, Information and Control
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K13179
[Presentation] Machine Learning-Based Collaborative Learning Optimizer toward Intelligent CSCL System2017
- Author(s)
  Yuto Omae, Tatsuro Furuya, Kazutaka Mizukoshi, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Kazuhiro Yatsushiro, Hirotaka Takahashi
- Organizer
  2017 IEEE/SICE International Symposium on System Integration
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K13179

1. 高橋弘毅 (40419693)

# of Collaborated Projects: 3 results

# of Collaborated Products: 19 results
2. 大島崇行 (60824224)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
3. 八代一浩 (30312177)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
4. 水落芳明 (40510053)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
5. 榊原範久 (50824231)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
6. Nishimura Makoto (80259829)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 高橋三男 (40197182)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 大塚友彦 (80262278)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 清水昭博 (90149914)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 松井義弘 (40300545)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 濱住啓之 (30822027)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 一戸隆久 (40290720)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 城石英伸 (30413751)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. KOBAYASHI Masahiro

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
15. SAKAI Kazuki

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
16. 秋月拓磨

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Yuto Omae 大前 佑斗

Research Projects

Research Products

Co-Researchers

アクティブ・ラーニングにおける振り返り分析支援システムの構築Ongoing

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of Portfolio System to Support Distance Active Learning by using Artificial IntelligenceOngoing

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Deep Learning for Extraction of Sports Trainer's KnowledgePrincipal InvestigatorOngoing

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A method to evaluate swimming performance based on deep learning and a single inertial sensorPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Development of experimental training materials in early engineer education for students with various disabilities

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] The Science of Swimming and Aquatic Activities, Chapter 17. Human Activity Analysis on Swimming Based on Machine Learning, Signal Processing and Inertial Measurement Unit2018

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Detection of Swimming Stroke Start Timing by Deep Learning from an Inertial Sensor2020

Author(s)

Journal Title

Data Source

[Journal Article] Classification of Human Gait Acceleration Data Using Convolutional Neural Networks2020

Author(s)

Journal Title

Data Source

[Journal Article] Estimation Method of Turn Section During Swimming by Using Ensemble Learning and Single Inertial Sensor2019

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Consideration of Human Motion’s Individual Differences-Based Feature Space Evaluation Function for Anomaly Detection2019

Author(s)

Journal Title

Data Source

[Journal Article] A Novel Deep Learning Optimization Algorithm for Human Motions Anomaly Detection2019

Author(s)

Journal Title

Data Source

[Journal Article] Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Inertial Measurement Unit2018

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Journal Article] Feature Selection Algorithm Considering Trial and Individual Differences for Machine Learning of Human Activity Recognition2018

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Yuto Omae 大前佑斗