Novel Algorithm for Feature Extraction and Feature Selection from Electrocardiogram Signal
暂无分享,去创建一个
[1] K. H. Kim,et al. Emotion recognition system using short-term monitoring of physiological signals , 2004, Medical and Biological Engineering and Computing.
[2] S. Porges,et al. Emotion Recognition in Children with Autism Spectrum Disorders: Relations to Eye Gaze and Autonomic State , 2010, Journal of autism and developmental disorders.
[3] Mohamed Chetouani,et al. Hilbert-Huang transform based physiological signals analysis for emotion recognition , 2009, 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
[4] Loïc Kessous,et al. Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis , 2010, Journal on Multimodal User Interfaces.
[5] Kostas Karpouzis,et al. An Intelligent Scheme for Facial Expression Recognition , 2003, ICANN.
[6] Jennifer Healey,et al. Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[7] A. N. Paithane,et al. Human Emotion Recognition using Electrocardiogram Signals , 2014 .
[8] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[9] Erkki Oja,et al. Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 , 2003, Lecture Notes in Computer Science.
[10] Johannes Wagner,et al. From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification , 2005, 2005 IEEE International Conference on Multimedia and Expo.
[11] Elisabeth André,et al. Emotion recognition based on physiological changes in music listening , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] D. S. Bormane,et al. Electrocardiogram signal analysis using empirical mode decomposition and Hilbert spectrum , 2015, 2015 International Conference on Pervasive Computing (ICPC).
[13] D. S. Bormane,et al. Analysis of nonlinear and non-stationary signal to extract the features using Hilbert Huang transform , 2014, 2014 IEEE International Conference on Computational Intelligence and Computing Research.
[14] Gabriel Rilling,et al. On empirical mode decomposition and its algorithms , 2003 .