Gesture recognition technologies have recently become available to a general consumer market. The most notable of these technologies rely on camera to support gesture recognition using multiple sensors that allow for standard colour pictures, infrared pictures and depth sensing. These capabilities allow for variety of applications, including a body’s skeleton or hand recognition. The recognition features allow for a multiple type input control.

Traditional classrooms involve the use of face-to-face interaction and a whiteboard or projector, but the inabilities to micro manage the environment between the teaching staff and the student calls for a need for a smart interactive learning environment. The aim of this work is to develop evidence and experiments for an architecture for a smart learning environment.

Augmented Reality (AR) technology is increasingly being adopted within the education sector. Technological advancements are changes of users attitudes toward the pedagogical and psychological objectives and goals. This literature review aims to show how the AR technology has evolved to suit specific demands of the education sector. AR technology allows flexible, convenient and effective solution that can enhance the learning outcomes using its various forms and techniques.