Research on GA-SVM Based Head-Motion Classification via Mechanomyography Feature Analysis

This study investigated classification of six types of head motions using mechanomyography (MMG) signals. An unequal segmenting algorithm was adopted to segment the MMG signals generated by head motions. Three types of features (time domain, time-frequency domain and nonlinear dynamics) were extract...

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Detalles Bibliográficos
Autores principales: Zhang, Yue, Yu, Jing, Xia, Chunming, Yang, Ke, Cao, Heng, Wu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539181/
https://www.ncbi.nlm.nih.gov/pubmed/31035370
http://dx.doi.org/10.3390/s19091986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539181/
https://www.ncbi.nlm.nih.gov/pubmed/31035370
http://dx.doi.org/10.3390/s19091986

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