Survey of Fusion Techniques for Design of Efficient Multimodal Systems

Human gesture is a major component for performing intelligent human computer interaction. Human gestures includes different components of visual actions such as motion of hands, facial expression, and torso, motion of eye, speech, to convey meaning and perform actions. In previous works, manual component of gestures is focused. This paper describes multimodal gesture recognition framework, which combines the different groups of features such as hand movement features and facial expression features. In this paper a survey of the work in the fusion of multiple streams of inputs from different modalities to design multimodal system has been described.