Figure 1: A child performing a physical exercise, with results of skeletal tracking superimposed.
This is a relatively new project, that officially started in October 2016. The project is funded by NSF grants IIS-1565328 to UTA and IIS-1565310 to Yale, and it is conducted in collaboration with Professor Fillia Makedon at UTA, and Professors Morris Bell and Bruce Wexler at Yale. The goal is to develop automated methods for assessing cognitive skills in children, based on the children's performance in structured physical and computer-based tasks.
One key challenge in this project is developing human motion analysis algorithms that can assess how well children perform certain activities. Another key challenge is the design of data mining methods for discovering new knowledge about the role of physical exercise in cognitive training, and about correlations between individual metrics in physical and computer-based tasks.