A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms

•IMU-based systems can acquire gait kinematics despite the lack of standardization.•AI algorithms can classify and group accurately subjects due to kinematic parameters.•Most applied, neural network algorithms present a better performance on gait data grouping. The conventional methods to assess hum...

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Veröffentlicht in:	Gait & posture Jg. 57; H. NA; S. 204 - 210
Hauptverfasser:	Caldas, Rafael, Mundt, Marion, Potthast, Wolfgang, Buarque de Lima Neto, Fernando, Markert, Bernd
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier B.V 01.09.2017
Schlagworte:	Accelerometer Accelerometry - instrumentation Accelerometry - methods Algorithms Artificial Intelligence Gait Gait kinematics Humans Inertial measurement unit Machine learning algorithms Accelerometer Machine learning algorithms Inertial measurement unit Artificial intelligence Gait kinematics
ISSN:	0966-6362, 1879-2219, 1879-2219
Online-Zugang:	Volltext
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