Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning

Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning

Human movements are characterized by highly non-linear and multi-dimensional interactions within the motor system. Therefore, the future of human movement analysis requires procedures that enhance the classification of movement patterns into relevant groups and support practitioners in their decisio...

Full description

Bibliographic Details
Main Authors: Johannes Burdack, Fabian Horst, Sven Giesselbach, Ibrahim Hassan, Sabrina Daffner, Wolfgang I. Schöllhorn
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
gait classification
data selection
data processing
ground reaction force
multi-layer perceptron
convolutional neural network
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00260/full

Similar Items

Similar Items