Postural Control
Humans maintain postural balance by flexibly responding to various external disturbances. This postural control is achieved through multi-segmental movement strategies, such as the ankle and hip strategies, and involves switching mechanisms based on sensory feedback. This laboratory explores adaptive control strategies similar to those of humans by applying reinforcement learning models to human posture responses under various disturbance conditions.
- Postural Strategy & Feedback Control
- Postural Adaptation to Perturbation
- Reinforcement Learning for Human-like Postural Strategy
Sensory Integration
Postural balance is maintained by the central nervous system integrating information from balance sensory organs such as the eyes, vestibular apparatus, and muscle spindles. However, when sensory mismatch or noise occurs due to disease, aging, or injury, it becomes difficult to maintain balance. This research analyzes and models the central nervous system’s multi-sensory integration system using kinematic data, reflex responses, and perception measurements.
- Motion Perception
- Internal Estimator and Controller Model
- Neural Processing of Multi-sensory Signals
