Rchr
J-GLOBAL ID:201101000401697680   Update date: Mar. 27, 2024

Otake Mihoko

Otake Mihoko
Affiliation and department:
Other affiliations (1):
  • NPO法人ほのぼの研究所  代表理事・所長
Homepage URL  (1): http://www.neuroscint.org/otake/
Research field  (7): Mechanics and mechatronics ,  Robotics and intelligent systems ,  Intelligent informatics ,  Soft computing ,  Perceptual information processing ,  Sensitivity (kansei) informatics ,  Intelligent robotics
Research keywords  (16): Gel ,  Polymer ,  Artificial Muscle ,  Soft Robotics ,  Language ,  Sociality ,  Medical Welfare ,  Brain, Neuron ,  Dementia Prevention ,  Aged Society ,  Human Robot Interaction ,  Older Adults ,  Cognitive Function ,  Artificial Intelligence ,  Dialogue System ,  Communication
Research theme for competitive and other funds  (18):
  • 2022 - 2025 Development of Hybird Nursing Care for Husband's Remote Childbirth Attendance
  • 2022 - 2025 Development of Multimodal Corpus of Everyday Conversation among Older Adults
  • 2022 - 2025 ありたい未来を共に考え行動を促すAIロボット
  • 2022 - 2024 Development of Assistive Technology for Sustaining Dialogue with Voice-Calling Robot to Monitor Older Adults at Bedside
  • 2019 - 2023 Assisting self care and mutual aid of elderly people with dementia at home based on mind externalization
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Papers (125):
  • Tomasz M. Rutkowski, Tomasz Komendziński, Mihoko Otake-Matsuura. Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm. Frontiers in Aging Neuroscience. 2024. 15. 1294139
  • Tomasz M. Rutkowski, Masato S. Abe, Hikaru Sugimoto, Tomasz Komendzinski, Mihoko Otake-Matsuura. Topological Data Analysis Applied to EEG for Objective Early Onset Dementia Neurobiomarker. TDA Week 2023. 2023. P52
  • Takumi Kodama, Tomasz M. Rutkowski, Tomasz Komendzinski, Youichi M Ito, Mihoko Otake-Matsuura. Multi-modal EEG/fNIRS/ET Data Collection and Cloud Storage System Prototype for the Elderly Home-based Dementia Monitoring. 2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Sydney, Australia: IEEE Press; 2023. 2023. 1647
  • Tomasz M. Rutkowski, Masato S. Abe, Hikaru Sugimoto, Mihoko Otake-Matsuura. Mild Cognitive Impairment Detection with Machine Learning and Topological Data Analysis Applied to EEG Time-series in Facial Emotion Oddball Paradigm - Objective Neurobiomarker for Early Onset Dementia Prediction Approach. 2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Sydney, Australia: IEEE Press; 2023. 2023. 1196
  • Alexandra Wolf, Kornkanok Tripanpitak, Satoshi Umeda, Mihoko Otake-Matsuura. Eye-tracking paradigms for the assessment of mild cognitive impairment: a systematic review. Frontiers in Psychology. 2023. 14. 1197567
more...
MISC (5):
  • Mihoko Otake-Matsuura. From Gel Robots towards Development of Cognitive Behavioral Assistive Technology. Journal of The Society of Instrument and Control Engineers. 2019. 58. 10. 786-790
  • Assisting Conversation of Older Adults for Positive Attitude Towards the End of Life. 2017. 32. 1. 95-102
  • Mihoko Otake. Intelligence for Doing Ordinary Things Appropriately in Everyday Life. 2016. 31. 2. 167-167
  • Mihoko Otake, Chiba University:Fonobono Research Institute:Japan Science and Technology Agency. Estimation of Mental Time during Conversation and Its Application to Recent Episodic Memory Support via Coimagination Method with Walking(<Special Issue>Ambient Intelligence for Health and Cognitive Enhancement). 2015. 30. 6. 745-750
  • OTAKE Mihoko, TAURA Kenjiro. Development of Parallel Computing Platform for Real World Information Systems. 2008. 70. 117-118
Patents (9):
Books (3):
  • New Frontiers in Artificial Intelligence, Lecture Notes in Artificial Intelligence 10091
    Springer-Verlag 2017
  • Coimagination Method Useful for Care - Novel Communication for Prevention and Recovery from Dementia
    Chuohoki Publishing 2011
  • Electroactive Polymer Gel Robots -Modelling and Control of Artificial Muscles
    Springer-Verlag 2010
Education (4):
  • 2000 - 2003 The University of Tokyo Graduate School of Engineering Department of Mechano-Informatics (Ph.D.)
  • 1998 - 2000 The University of Tokyo Graduate School of Engineering Department of Mechano-Informatics (Masters)
  • 1996 - 1998 The University of Tokyo Faculty of Engineering Department of Mechano-Informatics
  • 1994 - 1996 The University of Tokyo Collage of Arts and Sciences Natural Science I
Professional career (1):
  • 博士(工学) (東京大学)
Work history (11):
  • 2018/04 - 現在 Tokyo University of Agriculture and Technology Graduate School of Engineering Adjunct Professor
  • 2017/04 - 現在 RIKEN Center for Advanced Intelligence Project Team Leader
  • 2008/07 - 現在 Non-Profit Organization Fonobono Research Institute Director
  • 2012/04 - 2017/03 Chiba University Graduate School of Engineering Associate Professor
  • 2010/10 - 2016/07 Japan Science and Technology Agency PRESTO Researcher
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Awards (12):
  • 2016/06 - Japan Society for Artificial Intelligence Field Innovation Award
  • 2015/10 - Chiba University Frontier Science Award for Young Scientist
  • 2014/04 - Ministry of Education, Culture, Sports, Science and Technology Ministry of Education, Culture, Sports, Science and Technology (MEXT) prize for Young Scientists
  • 2013/03 - Chiba University Award for Excellent Social Activities, Faculty of Engineering
  • 2012/06 - Japan Society for Artificial Intelligence Near Future Challenge Award
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Association Membership(s) (5):
JAPAN SOCIETY FOR DEMENTIA RESEARCH ,  IEEE ,  THE ROBOTICS SOCIETY OF JAPAN ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
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