Plantar Science Opened up by Insole Sensors and Plantar Big Data

Standing, walking, and running all connect us to the ground through the soles of our feet. This project develops highly wearable insole sensors and accumulates long-term individual plantar information at scale to establish a new scientific foundation for movement, health, and skill.

We contribute by designing machine-learning and deep-learning models for the collected plantar time-series data, and by developing algorithms that automatically estimate motor skills and physical states. The outcomes are extended to motor learning support, computational understanding of human motion, and motion control models in robotics.