Patent ID: 9031293
Filing Date: 2015-05-12
Classification: G06F,G06K,G10L

Abstract:
1. A method for determining an emotional state of a user, comprising: extracting features including one or more acoustic features, visual features, linguistic features, physical feature s from signals obtained by one or more sensors with a processor; analyzing the features including the acoustic features, visual features, linguistic features, and physical features with one or more machine learning algorithms implemented on a processor; wherein analyzing the acoustic features, visual features, linguistic features, and physical features includes use of separate machine learning algorithms for the acoustic, visual, linguistic, and physical features; wherein a first machine learning algorithm provides feedback to a second machine learning algorithm in a serial fashion; and extracting an emotional state of the user from analysis of the features including analysis of the acoustic features, visual features, linguistic features, and physical features with the one or more machine learning algorithms.