Machine Learning-mediated Gait Rating Based on Real Time Data Collected

Abstract

Machine Learning is a subgroup of Artificial Intelligence in which we use algorithms and methods to identify patterns and data with high volume. Tools such as Logistic Regression, K-Means, Dummy Classifier, Random Forest, KNN and SVM are very useful in identifying patterns. Deep Learning, a subgroup of Machine Learning, uses algorithms that mimic the neural network of the human brain, this network can be built by stacking layers of neurons, fed by large volumes of data, capable of performing classification tasks, impossible for humans. Tools such as RNA and RNC are examples used in Deep Learning. The use of these tools in the classification of types of footsteps (acquired data to be classified), applied to health, is very useful in speeding up the response of diagnoses with precise answers, helping physicians, physiotherapists, physical educators and scientists to employ and develop more efficient treatments, effective, and improve the health and quality of life of patients.