A Review on Human Gait Detection

Authors

  • Pavithra D S

  • Shrishail Math

Keywords:

human gait, biometrics, machine learning techniques, feature extraction

Abstract

The human gait is the identification of human locomotive based on limbs position or action The tracking of human gait can help in various applications like normal and abnormal gait fall detection gender detection age detection biometrics and in some terrorist and criminal activity detection The present work carried out is a review of various methodologies employed in human gait detection The analysis describes that the different feature extraction and machine learning techniques to be adopted for the identification of human gait based on the purpose of the application

How to Cite

Pavithra D S, & Shrishail Math. (2019). A Review on Human Gait Detection. Global Journal of Computer Science and Technology, 19(G1), 27–34. Retrieved from https://computerresearch.org/index.php/computer/article/view/1819

A Review on Human Gait Detection

Published

2019-01-15