@inproceedings{8156fa2ae6d248f086d77517b4b4f6c5,
title = "EMG-EMG correlation analysis for human hand movements",
abstract = "In this paper, a novel electromyogram (EMG)-EMG correlation analysis method is proposed to identify human hand movements. Mutual information (MI) measure is employed to analyse the ordinal pattern of the surface EMG recordings. The MI measure is extracted from EMG signals and compared with other various sEMG features in the time and frequency domains. The comparative experimental results demonstrate that autoregressive coefficients (AR)+MI has a better performance than the single features and other multi-features. The multi-features combining the different features mostly have improved the recognition performance, and the MI provides important supplemental information to the hand movements. It is evident that the proposed correlation feature is essential to improve the recognition rate.",
keywords = "EMG-EMG Correlation, Human Hand Movements, Mutual Information",
author = "Zhaojie Ju and Gaoxiang Ouyang and Honghai Liu",
year = "2013",
doi = "10.1109/RiiSS.2013.6607927",
language = "英语",
isbn = "9781467358774",
series = "Proceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013",
pages = "38--42",
booktitle = "Proceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013",
note = "2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 ; Conference date: 16-04-2013 Through 19-04-2013",
}