Gestuelle: A System to Recognize Dynamic Hand Gestures using Hidden Markov Model to Control Windows Applications
Human Computer Interaction has always been a challenging adventure for researchers. Communication between computers and humans, just as humans interact with one another has been the prime objective of HCI research. Many efforts have gone into speech and gesture recognition to develop an approach that would allow users to interact with their system by using their voice or simple intuitive gestures as against sitting in front of the computer and using a mouse or keyboard. Natural interaction must be fast, convenient, effective and reliable. This paper introduces an application, "Gestuelle" that makes use of simple gestures to operate on common windows applications such as Windows Media Player, Live Photo Gallery, Power Point, Notepad etc.