An Approach for Interpretation of MEMS Data for Gesture Based Man Machine Interaction in Advanced Set-top Box

Currently different type of interface between man and machine is a reach research area. One such method for human machine interaction is gesture based interface. This paper presents a novel approach for interpreting MEMS data for Human Machine Interaction (HMI) that can be used to give user input to an interactive Set top box(STB) in terms of gesture. Moreover recent STBs are coming with a internet browser integrated into it. In this paper we have proposed a method where users can use the (MEMS) as a mouse pointer or a method to give some gesture based user input (like channel/volume up/down) or as an alternative to keyboard (by writing the English alphabet in capital letter) for web browsing. We get a recall rate of 0.994 and precision rate as 0.998.