Empowering Advanced Driver-Assistance Systems from Topological Data Analysis

We are interested in evaluating the state of drivers to determine whether they attentive road or not by using motion sensor data collected from car driving experiments. That is, our goal is design a predictive model that can estimate given sensors. For purpose, we leverage recent developments topological analysis (TDA) analyze and transform coming time series build machine learning based on features extracted with TDA. provide some experiments showing proves be accurate identification user, predicting relaxed tense.