Study on Hand Gesture Recoginition by using Machine Learning

Artificial Intelligence [AI] and Machine Learning [ML] play a vital role in the health care industries and other such scientific applications. In continuation with Artificial Intelligence, so many researches are attracted towards the Hand Gesture Recognition (HGR). HGR is the simple method used to interact with machines. Hand gesture recognition is performed by using machine learning algorithm. It consists of two approaches, they are appearance based approach and model based approach. In appearance based method, the hand image is reconstructed by using image properties. But in model based method, different models such as volumetric, geometric etc., are used to reconstruct the image. The complications in machine learning algorithm and processing time are remaining as the major challenge in gesture recognition. The performance of HGR system is evaluated based on its accuracy. This paper presents the detailed study on various methods and algorithms used in gesture recognition.