An individualized gait pattern prediction model based on the least absolute shrinkage and selection operator regression

Gait pattern prediction is an essential function of individualized motion control of the lower-limb exoskeleton. This paper presents a novel gait pattern prediction model based on the least absolute shrinkage and selection operator (LASSO) regression. Gait data were collected from one hundred and tw...

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Veröffentlicht in:	Journal of biomechanics 2020-11, Vol.112, p.110052-110052, Article 110052
Hauptverfasser:	Hu, Xinyao, Shen, Fei, Zhao, Zhong, Qu, Xingda, Ye, Jing
Format:	Artikel
Sprache:	eng
Schlagworte:	Ankle Ankle Joint Biomechanical Phenomena Datasets Exoskeleton Exoskeleton Device Exoskeletons Female Females Gait Gait pattern prediction Gender Heels Humans Joints (anatomy) Kinematics Knee Joint LASSO Lower-limb exoskeleton Male Metronomes Motion control Parameter estimation Parameters Prediction models Regression models Time series Trajectories Variables Walking Waveforms Young Adult Young adults
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