Predicting Transitioning Walking Gaits: Hip and Knee Joint Trajectories From the Motion of Walking Canes

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 27; no. 9; pp. 1791 - 1800
• Main Authors: Mounir Boudali, A., Sinclair, Peter J., Manchester, Ian R.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2019
• Subjects: Adult; Algorithms; Biomechanical Phenomena; Canes; data analysis; Exoskeletons; Female; Gait - physiology; gait trajectory prediction; Hip; Hip - physiology; Humans; Knee Joint - physiology; Least-Squares Analysis; Legged locomotion; Lower Extremity - physiology; lower limb rehabilitation; Male; Neural Networks, Computer; Posture - physiology; Robot sensing systems; system identification; Task analysis; Trajectory; Walking - physiology; Young Adult

In recent years, wearable exoskeletons and powered prosthetics have been considered key elements to remedy mobility loss. One of the main challenges pertaining to this field is the prediction of the wearer's desired motion. In this paper, we perform a human locomotion analysis, and we investiga...