A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Gait Classification with Gait Inherent Attribute Identification from Ankle's Kinematics
2022
IEEE transactions on neural systems and rehabilitation engineering
The human ankle joint interacts with the environment during ambulation to provide mobility and maintain stability. This association changes depending on the different gait patterns of day-to-day life. In this study, we investigated this interaction and extracted kinematic information to classify human walking mode into upstairs, downstairs, treadmill, overground and stationary in real-time using a single-DoF IMU axis. The proposed algorithm's uniqueness is twofold - it encompasses components of
doi:10.1109/tnsre.2022.3162035
pmid:35324446
fatcat:jmrzhy3wlfhl3hjcx5p3lfe43u