An individual-specific gait pattern prediction model based on generalized regression neural networks

• Published in: Gait & posture Vol. 39; no. 1; pp. 443 - 448
• Main Authors: Luu, Trieu Phat, Low, K.H., Qu, Xingda, Lim, H.B., Hoon, K.H.
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.01.2014
• Subjects: Adolescent; Adult; Analysis; Biomechanical Phenomena; Female; Gait - physiology; Gait Disorders, Neurologic - rehabilitation; Gait pattern planning; Humans; Joints - physiology; Leg - physiology; Lower limb angular kinematics; Male; Models, Biological; Neural Networks (Computer); Orthopedics; Regression Analysis; Robotic gait rehabilitation; Robotics - methods; Young Adult; Lower limb angular kinematics; Gait pattern planning; Robotic gait rehabilitation

•An individual-specific gait pattern prediction model for generating lower limb joint angle waveforms was presented.•We found that the lower limb joint angle waveform can be represented by a Fourier coefficient vector.•The proposed model is able to plan different gait patterns at different walking s...