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http://dx.doi.org/10.9717/kmms.2013.16.1.067

An Adaptive Pointing and Correction Algorithm Using the Genetic Algorithm  

Jo, Jung-Jae (전남대학교 전자컴퓨터공학과)
Kim, Young-Chul (전남대학교 전자컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.1, 2013 , pp. 67-74 More about this Journal
Abstract
In this paper, we propose the pointing and correction algorithm for optimized performance based on Bluetooth communication. The error from the accelerometer sensor's output must be carefully managed as the accelerometer sensor is more sensitive to data change compared to that of the gyroscope sensor. Thus, we minimize the noise by applying the Kalman filter to data for each axis from the accelerometer. In addition, we can also obtain effect compensating the hand tremor by applying the Kalman filter to the data variation for x and y. In this study, we extract data through the Quaternion mapping process on data from the accelerometer and gyroscope. In turn, we can obtain a tilt compensation by applying a compensation algorithm with acceleration of the gravity of the extracted data. Moreover, in order to correct the inaccuracy on smart sensor due to the rapid movement of a device, we propose a adaptive pointing and correction algorithm using the genetic approach to generate the initial population depending on the user.
Keywords
Quaternion; Kalman filter; Tilt compensation; Genetic Algorithm;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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