[01240] Machine Learning based Optimization Algorithm for Stress Prediction
Session Time & Room : 3C (Aug.23, 13:20-15:00) @E804
Type : Contributed Talk
Abstract : In this work, an efficient optimization algorithm is developed to predict the stress of a person. The algorithm uses sensor data which are extracted from person’s physiological parameters. The proposed work uses various
techniques for smoothing the data and to identify the features from the extracted data. Different experiments are done by considering various output metrics. Based on the comparison with the existing classification algorithms, the proposed algorithm identifies the stress prediction with high accuracy.
