We research and develop innovative solutions for personalized medical applications
by combining mechanics, artificial intelligence, and biomedical engineering.
Our research focuses on predictive diagnostic systems and rehabilitation technologies to enhance mobility and musculoskeletal health.
Gait analysis by motion capture cameras and IMU sensors to assess gait characteristics in daily life scenarios and rehabilitation.
Finite element modeling for foot biomechanics, custom insole optimization, and stress distribution analysis for foot biomechanics.
Machine learning models integrate sensor and clinical data to predict gait patterns, fracture and generate synthetic data.
Indentation testing analyzes biomechanical properties, evaluating stiffness and pressure distribution for diagnosing pathological conditions.