Supervised machine learning algorithms are trained with labelled datasets and can perform two tasks: regression and classification. Regression finds correlations between variables. If the variable is time, then regression can be used to follow a previously recorded gesture. Classification is an algorithm that divide the dataset into classes. If several gestures have been recorded, modeled and labeled, categorization enables recognition of a new gesture.

Both Regression and Classification algorithms are known as Supervised Learning algorithms and are used to predict in Machine learning and work with labeled datasets: source simplilearn.com