Research Projects
Major Ongoing Research Projects
Our laboratory conducts a wide range of research from mathematical modeling of biosignals to machine learning recognition and practical system development.
Biosignal Modeling and Analysis
Mathematical modeling and analysis of biosignals using signal processing and probability theory.
Stochastic Generative Model and Signal Analysis of Surface EMG
Development of novel EMG signal models considering uncertainty in variance
Stochastic Generative Model and Signal Analysis of EEG
Development of probabilistic models to capture characteristic waves in EEG
Sequential Bayesian Learning of Biosignal Patterns
Development of efficient adaptive learning algorithms for changing signal characteristics
Machine Learning / Deep Learning Recognition
Building intelligent systems using pattern recognition, time series analysis, and deep learning.
Motion Pattern Recognition Using EMG Signals
Development of high-precision motion intention estimation systems using deep learning
Prediction of Cancer Therapy-Related Cardiac Dysfunction Using ECG
Construction of early risk assessment systems using machine learning
Time-Series Prediction of Epileptic Seizures Using EEG
Development of seizure prediction systems using deep learning
Medical Application Systems and Interface Development
Implementing research results as practical systems and interfaces for social implementation.
Robot Prosthetic Hand Control Mimicking Human Motor Characteristics
Development of biomimetic control systems achieving natural movements
Infant Motion Analysis Using Video Images
Construction of AI image analysis systems supporting developmental assessment
Dynamic Plaque Evaluation Based on Ultrasound Video Images
Development of high-precision evaluation systems for arteriosclerosis risk
Research Approach
Our laboratory promotes research through both theoretical and practical approaches. We conduct comprehensive research and development from mathematical fundamental research to practical system development and social implementation. Through collaboration with domestic and international research institutions and companies, we aim to create innovative research results while incorporating the latest technological trends.