Digital Pen for Handwritten Digit and Gesture Recognition Using Trajectory Recognition Algorithm Based On Triaxial Accelerometer

With the advent of computing technologies, specifically in the areas of improved computational speed and reduced system cost with additional functionalities, real-time and virtual interactions between humans and computers have gained significant research and commercial interests recently. So it is essential to focuses on human interactions with computing devices using characters and gesture recognition. The digital pen is a pen type portable device having inertial sensori.e. triaxial accelerometer for general motion sensing, that facilitate the user to interact with computer without any external reference and limitation in working conditions ARM processor,Zigbee module used for wireless communication. This paper present an effective trajectory recognition algorithm that can efficiently select most significant features from the time and frequency domains of acceleration signals collected from inertial sensor and project the feature space into a smaller feature dimension for motion recognition with high recognition accuracy.