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

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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Bibliographic Details
Main Authors: Yue Zhang, Jing Yu, Chunming Xia, Ke Yang, Heng Cao, Qing Wu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
mechanomyography
genetic algorithm
support vector machine
head-motion
classification
Online Access:https://www.mdpi.com/1424-8220/19/9/1986

Internet

https://www.mdpi.com/1424-8220/19/9/1986

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