The gait analysis is interpreted to include an overwhelming number of interrelated parameters, which, due to the high volume of data and their relationships and is difficult to implement. The integration of machine learning with biomechanics is a promising approach to simplify the evaluation. The human gait can differ depending on whether there are abnormalities in the body or whether the human is old or young. The aim of this research is to build a machine learning model to classify and analyse the human gait data. The benefit of this study is that it can be used for early detection of disease in patients.

Machine Learning, AI, Human Gait

• Dr. Ahmad Nurul Fajar, S.T., M.T.

• Nunung Nurul Qomariyah, S.Kom., M.T.I., Ph.D.