Human Gait Activity Recognition Machine Learning Methods.

ABSTRACT: Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One of the most attractive applications includes monitoring of gait disorder patients, tracking their disease progression and the modification/evaluation of drugs. This paper proposes a robust, wearable gait motion data acquisition system that allows either the classification of recorded gait data into desirable activities or the identification of common risk factors, thus enhancing the subject's quality of life. Gait motion information was acquired using accelerometers and gyroscopes mounted on the lower limbs, where the sensors were exposed to inertial forces during gait. Additionally, leg muscle activity was measured using strain gauge sensors. As a matter of fact,

SUBMITTER: Slemensek J 

PROVIDER: S-EPMC9865094 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature