MEMS accelerometer based nonspecific user hand gesture recognition
This paper presents an MEMS accelerometer mostly based on gesture recognition algorithm and its applications. The hardware module consists of a triaxial mems accelerometer, microcontroller, and zigbee wireless transmission module for sensing and collecting accelerations of handwriting and hand gesture trajectories. Users will use this hardware module to write down digits, alphabets in digital kind by making four hand gestures. The accelerations of hand motions measured by the accelerometer are transmitted wirelessly to a personal computer for trajectory recognition. The trajectory algorithm composed of information assortment collection, signal preprocessing for reconstructing the trajectories to attenuate the cumulative errors caused by drift of sensors. So, by changing the position of MEMS (micro electro mechanical systems) we can able to show the alphabetical characters and numerical within the PC.