The concept of recognising gestures using hands and/or other body parts is based on three layers: Detection, Tracking and Recognition. We use special interfaces that can capture these movements, and later use computer vision technology & deep learning algorithms to understand the underlying pattern. Today, they are several gesture-interface products in the market made by Big Tech giants like Intel, Apple & Google for applications in home automation, shopping, virtual/augmented reality gaming, consumer electronics and navigation among others.

"Over the last decade, machine learning, which is part of artificial intelligence (AI), has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome." Movements can be recognised, memorised, interpreted and shared through networks. There are many applications in health, sports and especially education in the digital age. "Driven by advances in artificial intelligence and natural language processing, voice is slowly establishing itself as the new interface to reach the digital universe." Gestures are thus another emerging interface to reach the digital universe.

"Over the last decade, machine learning, which is part of artificial intelligence (AI), has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome." Movements can be recognised, memorised, interpreted and shared through networks. There are many applications in health, sports and especially education in the digital age. "Driven by advances in artificial intelligence and natural language processing, voice is slowly establishing itself as the new interface to reach the digital universe." Gestures are thus another emerging interface to reach the digital universe.