"Emotion Recognition from Physiological Signals Using Support Vector Machine"

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Book	Author(s)	Year	Publisher
Support Vector Machine In Chemistry	Nianyi Chen, Wencong Lu, Jie Yang, Guozheng Li	2004	World Scientific Publishing Company
Emotion Recognition using Speech Features	K. Sreenivasa Rao; Shashidhar G. Koolagudi	2013	Springer New York
Robust Emotion Recognition using Spectral and Prosodic Features	K. Sreenivasa Rao; Shashidhar G. Koolagudi	2013	Springer New York
Learning to Classify Text Using Support Vector Machines	Thorsten Joachims	2002	Springer US
Learning to classify text using support vector machines	Thorsten Joachims (auth.)	2002	Springer US
Human Emotion Recognition from Face Images	Paramartha Dutta; Asit Barman	1st ed. 2020	Springer Nature Singapore
Rule Extraction from Support Vector Machines	Joachim Diederich	2008	Springer Berlin Heidelberg
Music Emotion Recognition	Yi-Hsuan Yang; Homer H. Chen	2011	Routledge
Support Vector Machines	Ingo Steinwart; Andreas Christmann	2008	Springer New York
Physiological Correlates of Emotion	Perry Black	1970	Academic Press
Support Vector Machines Applications	Yunqian Ma; Guodong Guo	2014	Springer International Publishing
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques	Abdulhamit Subasi	2019	Academic Press
Hypocretins: Integrators of Physiological Signals	Luis De Lecea; J. Gregor Sutcliffe	2005	Springer US
From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces	Jacek Grekow	1st ed. 2018	Springer International Publishing
Acoustic Modeling for Emotion Recognition	Koteswara Rao Anne; Swarna Kuchibhotla; Hima Deepthi Vankayalapati	2015	Springer International Publishing
Learning with Support Vector Machines	Colin Campbell; Yiming Ying		Springer International Publishing
Learning with support vector machines	Colin Campbell	2011	Morgan & Claypool
Least squares support vector machines /	Suykens, Johan A. K.	2002.	World Scientific,
Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach	Jenny Terzic; Edin Terzic; Romesh Nagarajah; Muhammad Alamgir	2013	Springer International Publishing
Signal Processing of Random Physiological Signals	Charles Lessard		Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Emotion Recognition from Physiological Signals Using Support Vector Machine	Bo Cheng	Software Engineering and Knowledge Engineering: Theory and Practice: Volume 1	Yanwen Wu	2012	Springer Berlin Heidelberg
Emotion Recognition Using Physiological Signals	Lan Li; Ji-hua Chen	Advances in Artificial Reality and Tele-Existence: 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Hangzhou, China, November 28 - December 1, 2006, Proceedings	Zhigeng Pan; Adrian Cheok; Michael Haller; Rynson W. H. Lau; Hideo Saito; Ronghua Liang	2006	Springer Berlin Heidelberg
Emotion Recognition Using Physiological Signals	Mrigank Sharma; Rejo Mathew	Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019)	A. Pasumpon Pandian; Ram Palanisamy; Klimis Ntalianis	1st ed. 2020	Springer International Publishing
Emotion Recognition from Physiological Signals Using AdaBoost	Bo Cheng	Applied Informatics and Communication, Part I: International Conference, ICAIC 2011, Xi' an, China, August 20-21, 2011, Proceedings, Part I	Dehuai Zheng	2011	Springer Berlin Heidelberg
Analysis of Physiological Signals for Emotion Recognition Based on Support Vector Machine	Makara Vanny; Seung-Min Park; Kwang-Eun Ko; Kwee-Bo Sim	Robot Intelligence Technology and Applications 2012: An Edition of the Presented Papers from the 1st International Conference on Robot Intelligence Technology and Applications	Jong-Hwan Kim; Eric T Matson; Hyun Myung; Peter Xu	2013	Springer Berlin Heidelberg
Iris Recognition using Support Vector Machine	Adeetya Sawant; Sudha Gupta	Computation and Communication Technologies	Senthil T. Kumar; Bala Mathivanan	2016	De Gruyter
Speaker Recognition Using Support Vector Machine		Support-vector Machines: History and Applications	Pooja Saigal (editor)	2021	Nova Science Pub Inc
Emotion Recognition Using Support Vector Machine and Deep Neural Network	Ruinian Chen; Ying Zhou; Yanmin Qian	Man-Machine Speech Communication: 14th National Conference, NCMMSC 2017, Lianyungang, China, October 11–13, 2017, Revised Selected Papers	Jianhua Tao; Thomas Fang Zheng; Changchun Bao; Dong Wang; Ya Li	1st ed. 2018	Springer Nature Singapore
Speech Emotion Recognition Using Support Vector Machines	Caiming Yu; Qingxi Tian; Fang Cheng; Shiqing Zhang	Advanced Research on Computer Science and Information Engineering: International Conference, CSIE 2011, Zhengzhou, China, May 21-22, 2011. Proceedings, Part I	Gang Shen; Xiong Huang	2011	Springer Berlin Heidelberg
Emotion Recognition Based on Physiological Signals	Naiyu Wu; Huiping Jiang; Guosheng Yang	Advances in Brain Inspired Cognitive Systems: 5th International Conference, BICS 2012, Shenyang, Liaoning, China, July 11-14, 2012 Proceedings	Huaguang Zhang; Amir Hussain; Derong Liu; Zhanshan Wang	2012	Springer Berlin Heidelberg
Emotion Classification from Electroencephalogram Using Fuzzy Support Vector Machine	Anuchin Chatchinarat; Kok Wai Wong; Chun Che Fung	Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I	Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao; El-Sayed M. El-Alfy	1st ed. 2017	Springer International Publishing
Emotion Recognition from Physiological Signals Based on ASAGA	Lianzhe Zhou; Huanli Pang; Hanmei Liu	Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering	George Yang	2013	Springer Berlin Heidelberg
Analysis of Physiological Signals for Emotion Recognition Based on Support Vector Machine / Makara Vanny [and others]		Data Science with Julia	McNicholas, Paul D.; Tait, Peter		CRC Press
Emotion Recognition Using Physiological Signals: Laboratory vs. Wearable Sensors	Martin Ragot; Nicolas Martin; Sonia Em; Nico Pallamin; Jean-Marc Diverrez	Advances in Human Factors in Wearable Technologies and Game Design: Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, July 17-21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA	Tareq Ahram; Christianne Falcão	1st ed. 2018	Springer International Publishing
Emotion Recognition During Social Interactions Using Peripheral Physiological Signals	Priyansh Gupta; S. Ashwin Balaji; Sambhav Jain; R. K. Yadav	Computer Networks and Inventive Communication Technologies: Proceedings of Fourth ICCNCT 2021	S. Smys; Robert Bestak; Ram Palanisamy; Ivan Kotuliak	1st ed. 2022	Springer Nature Singapore
Emotion Classification Using Xception and Support Vector Machine	Arpan Phukan; Deepak Gupta	Advanced Machine Intelligence and Signal Processing	Deepak Gupta; Koj Sambyo; Mukesh Prasad; Sonali Agarwal	1st ed. 2022	Springer Nature Singapore
Happy-Sad Expression Recognition Using Emotion Geometry Feature and Support Vector Machine	Linlu Wang; Xiaodong Gu; Yuanyuan Wang; Liming Zhang	Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II	Mario Köppen; Nikola Kasabov; George Coghill	2009	Springer Berlin Heidelberg
Recognition of Plant Leaves Using Support Vector Machine	Qing-Kui Man; Chun-Hou Zheng; Xiao-Feng Wang; Feng-Yan Lin	Advanced Intelligent Computing Theories and Applications: With Aspects of Contemporary Intelligent Computing Techniques	De-Shuang Huang; Donald C. Wunsch; Daniel S. Levine; Kang-Hyun Jo	2008	Springer Berlin Heidelberg
Face recognition using new SVRDM support vector machine	D. P. Casasent and C. Yuan	Intelligent robots and computer vision XXI: algorithms, techniques, and active vision: 28-29 October, 2003, Providence, Rhode Island, USA /	Casasent, D. P.; Hall, Ernest L.; Röning, Juha.	[2003], ©2003.	SPIE,
Emotion Recognition from Speech Signals Using Machine Learning and Deep Learning Techniques	Gaurav Kataria; Akansh Gupta; V. Sirish Kaushik; Gopal Chaudhary	Concepts and Real-Time Applications of Deep Learning	Smriti Srivastava; Manju Khari; Ruben Gonzalez Crespo; Gopal Chaudhary; Parul Arora	1st ed. 2021	Springer International Publishing
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