MEMS-based digital pen with a trajectory recognition algorithm for handwritten digit and alphabet recognition

This paper presents an accelerometer-based digital pen for handwritten digit and gesture trajectory recognition applications. The digital pen consists of a triaxial accelerometer, a microcontroller (with A/D converter), and a ZigBee wireless transmission module for sensing and collecting accelerations of handwriting and gesture trajectories. The triaxial accelerometer measures the acceleration signals generated by a user's hand motions. The microcontroller collects the analog acceleration signals and converts the signals to digital ones via the A/D converter. Using this project we can do human computer interaction. Users can use the pen to write digits or make hand gestures, and the accelerations of hand motions measured by the accelerometer are wirelessly transmitted to a computer for online trajectory recognition. So, by changing the position of mems (micro electro mechanical systems) we can able to show the alphabetical characters in the PC. The acceleration signals measured from the triaxial accelerometer are transmitted to a computer via the wireless module.