Facial Nerve Function Analysis and 3D Modeling
Key Research Focus
The team develops automated systems for the objective evaluation of facial nerve disorders (facial palsy) using 3D imaging technology and artificial intelligence.
- Objective Parameterization: Replacing subjective clinical scales with precise 3D measurements of mimetic muscle movement, often utilizing cost-effective sensors like the Microsoft Kinect.
- Deep Learning & CNNs: Implementing Parallel Convolutional Neural Networks to automatically classify the degree of facial impairment by analyzing both global facial symmetry and local muscle dynamics.
- Rehabilitation Monitoring: Statistical analysis of facial kinetics during therapeutic exercises to track recovery progress and the effectiveness of surgical interventions.
- Medical Integration: Collaborating with clinical experts to provide surgeons and therapists with data-driven insights into post-operative healing and muscle function.