Artificial neural network can improve the accuracy of a markerless skeletal model in L5/S1 position estimation during symmetric lifting.
Abstract
This study investigated whether using an artificial neural network (ANN) method for L5/S1 position estimation based on the Kinect markerless skeletal model can produce more accurate data than measurements using the original Kinect skeletal model during symmetric lifting tasks. Twenty participants performed three symmetric lifting tasks twice at three vertical lifting height paths. Their postural data were simultaneously collected by a Kinect and...
Paper Details
Title
Artificial neural network can improve the accuracy of a markerless skeletal model in L5/S1 position estimation during symmetric lifting.
Published Date
Jan 1, 2022
Journal
Volume
130
Pages
110844 - 110844
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