Data Extraction Using Camera-Based Methods w/ Dr. Matthew Saponaro

Understanding how the community engages within parks and trails is of the utmost importance to improve population-level physical activity. Strides made in video processing technologies have given us the opportunity to have park and trail assessments done in over long periods of time. As a result, data and corresponding analysis can be immediately handed over to researchers and decision makers to determine the overall park and trail usage taking steps to address equity and physical activity issues. This talk focuses on the data extraction in community settings using camera-based methods and provides insight to use TRAILVision and PARKVision - an innovative mobile application and web-based interface for interacting with collected observational data.

Dr. Matthew Saponaro is the founder and CEO of A.I. Whoo, a data-driven, Artificial Intelligence company aimed to improve population-level health outcomes through artificially intelligent solutions. Dr. Saponaro’s research aims to improve machine learning techniques to assess and improve physical activity. Through A.I. Whoo, he has developed computer vision models to assess park and trail usage (PARKVision), combat COVID-19 evaluating mask adherence and social distancing (COVIDVision), and enable medical professionals to use clinical-grade gait assessment technologies virtually through mobile devices (GAITVision).