Use of empirical mode decomposition for classification of MRCP based task parameters

Ali Hassan, Hassan Akhtar, Muhammad Junaid Khan, Farhan Riaz, Faiza Hassan, Imran Khan Niazi, Mads Jochumsen, Kim Dremstrup

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, Salamanca, Spain
EditorsEmilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin
PublisherSpringer
Publication date2014
Pages77-84
ISBN (Print)978-3-319-10839-1
ISBN (Electronic)978-3-319-10840-7
DOIs
Publication statusPublished - 2014
EventInternational Conference on Intelligent Data Engineering and Automated Learning, IDEAL - Salamanca, Spain
Duration: 10 Sep 201412 Sep 2014
Conference number: 15

Conference

ConferenceInternational Conference on Intelligent Data Engineering and Automated Learning, IDEAL
Number15
CountrySpain
CitySalamanca
Period10/09/201412/09/2014
SeriesLecture Notes in Computer Science
Volume8669
ISSN0302-9743

Cite this

Hassan, A., Akhtar, H., Khan, M. J., Riaz, F., Hassan, F., Niazi, I. K., Jochumsen, M., & Dremstrup, K. (2014). Use of empirical mode decomposition for classification of MRCP based task parameters. In E. Corchado, J. A. Lozano, H. Quintián, & H. Yin (Eds.), Proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, Salamanca, Spain (pp. 77-84). Springer. Lecture Notes in Computer Science Vol. 8669 https://doi.org/10.1007/978-3-319-10840-7_10