Grant-in-Aid for Scientific Research (B)PI
Proposal of unified probabilistic transfer learning adapting to real-world fluctuations in biosignals
FY2026–FY2029KAKEN
Grants & Funding
External Research Funding
Our research is supported by the following external funding, including JSPS KAKENHI grants.
Ongoing Projects
Grant-in-Aid for Challenging Research (Exploratory)PI
Creation of contrastive learning paradigm using predictive uncertainty in biosignals as information source
FY2026–FY2027KAKEN
Grant-in-Aid for Scientific Research (B)Co-I
Generalized deep unfolding and its application to ambiguous domain knowledge modeling
PI: Hayaishi Hideaki
FY2024–FY2026KAKEN
Fund for the Promotion of Joint International Research (International Collaborative Research)Co-I
Research on developmental course of body movement in infants with ASD and development of early screening system
PI: Hirokazu Doi
FY2023–FY2028KAKEN
Grant-in-Aid for Challenging Research (Pioneering)Co-I
Discovery of 'primary motor components' constituting infant spontaneous movements and challenge to ultra-early screening of developmental disorders
PI: Toshio Tsuji
FY2023–FY2026KAKEN
Grant-in-Aid for Scientific Research (A)Co-I
Non-invasive microneurography: Reconstruction of peripheral sympathetic nerve activity using an arterial mechanics model
PI: Toshio Tsuji
FY2022–FY2026KAKEN
Completed Projects
- Grant-in-Aid for Scientific Research (B)PI
Proposal of disentangled representation learning for electromyogram signals and realization of robust operation interface
FY2023–FY2025KAKEN
- Grant-in-Aid for Early-Career ScientistsPI
Latent feature evaluation of muscle fatigue based on scale mixture stochastic model and its application to adaptive control of myoelectric prosthetic hand
FY2020–FY2022KAKEN
- Grant-in-Aid for JSPS FellowsPI
Proposal of Myoelectric Signal Models Based on Scale Mixture Distribution Family and Application to Biological Fluctuation Evaluation
FY2018–FY2019KAKEN
- Grant-in-Aid for Scientific Research (B)Co-I
Knowledge-embedded Bayesian deep learning and its application to small data analysis
FY2021–FY2023PI: Hayaishi HideakiKAKEN
- Grant-in-Aid for Scientific Research (C)Co-I
Modeling and Clinical Application of Microbubble Generation Prediction in the Cardiopulmonary Bypass Based on Continuous Blood Viscosity Measurement Method
FY2020–FY2023PI: Satoshi MiyamotoKAKEN
- Grant-in-Aid for Scientific Research (B)Co-I
A non-invasive estimation method of human peripheral sympathetic nerve activity and challenge to measure pain perception
FY2019–FY2021PI: Toshio TsujiKAKEN
Details of each KAKENHI project are also available on the KAKEN database researcher page.
KAKEN Researcher Page