MEMS accelerometer based nonspecific user hand gesture recognition
SKU: 010376
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.