Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition

Gabriel A. Popoola, Corey A. Graves, Phyllis Ford-Booker. Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition. In 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, December 6-8, 2018. pages 402-406, IEEE, 2018. [doi]

Abstract

Abstract is missing.