Prediction of Optimal Torques from Gait Analysis Applying the Machine Learning Concepts

With the advancements in engineering and technology and with the advent of the fourth industrial revolution made the solution for complex and dynamic problems easier. Many researchers had incredibly investigated about the problems, which are outcomes of prosthetic leg, attached to a human being especially at working conditions and still the problem pertains till date. This might be one of the crisp reasons which insisted& necessitated to undergo this project. In this project, considering a set of persons aging 19-28 were made to walk on a tread mill. It is a tedious process to take the hip and knee angles physically using various sensors and its very complicated process to generate torque values and finding the optimal torque values for different persons converting physical variables to digital variables. To overcome this problem advanced software's like Kinovea is employed for measurement of angular cycles for gait analysis and based on these values machine learning algorithm is employed to find the accuracy and better prediction of torques for different disabled persons.