New interface design using accelerator sensor for smart phone

Abstract

Touch screen interface is inconvenient since it requires both hands. So this study suggests new interface as replacement. Smart devices use built-in acceleration sensor. Low pass filter and Kalman filter reduce noise and variability of the output of the acceleration sensor to enhance precision and certainty, which is then applied in widgets or menus to test usability and functionality through experiments. Besides, sensor-based color detector is used to realize real-time color detection of the camera output image, and to search color information of the image, which is then analyzed and inferred for face detection. With the suggested algorithm, we can detect the face image even when it is slanted. Also, real-time detection of color information depending on the environment is possible. Experiments have proven its features which are particularly strong in the changes in the environment. The suggested algorithm is useful for further studies concerning various interfaces on smartphone.