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A Digital Pen with a Trajectory Recognition Algorithm Using MEMS and Powerpoint Slide Movements Using IR Sensor

R. Sangeetha, P. Anitha

This paper presents an accelerometer-based digital pen for handwritten digit and gesture trajectory recognition applications. The digital pen consists of a tri-axial accelerometer, a microcontroller, and an RF wireless transceiver for sensing and collecting accelerations of handwriting and gesture trajectories. 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 we can able to show the alphabetical characters in the PC. The acceleration signals measured from the tri-axial accelerometer are transmitted to a computer via the wireless module. The IR semsor is also used to do the ppt slide transition in the wireless module.