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Research Article Open Access
Due to the rapid development and research in the field of computer technology, human-computer interaction techniques have become an indispensable system in our daily life. This paper presents MEMS accelerometer based embedded system for handwritten recognition and mouse gesture recognition algorithm and its applications .The hardware module consists of a triaxial MEMS accelerometer, PIC microcontroller, and zigbee wireless module for sensing and collecting accelerations of handwriting and hand gesture trajectories. The accelerations of hand motions measured by MEMS accelerometer are transmitted wirelessly to the Computer. This system operates in two modes. It can operate as a mouse by recognizing the gestures. In other mode it can operate as handwritten recognition for identifying the digits and characters, and also it provides static authentication for the system by recognizing the characters and digits. MEMS accelerometer based 3D mouse can be treated as the new age input device. MEMS accelerometer based device is more natural in its feel and provides the user with efficient ease of use. Hand written digits and characters are one form of human interaction can be used effectively in human-computer interaction for gesture recognition and static authentication with better password protection. An Integrated Development Interface is developed using Visual basic.