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

• Published in: Gait & posture Vol. 57; no. NA; pp. 204 - 210
• Main Authors: Caldas, Rafael, Mundt, Marion, Potthast, Wolfgang, Buarque de Lima Neto, Fernando, Markert, Bernd
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.09.2017
• Subjects: 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

•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...