A New User Adaptive Pointing and Correction Algorithm
In this paper, we propose a new user-adaptive pointing and correction algorithm applied in the field of smart sensing. The error from the accelerometer sensor’s output must be carefully managed as the sensor is more sensitive to data change compared to that of gyroscope sensor. Thus, we minimize noise by applying the Kalman filtering to data for each axis from the accelerometer. In addition, we can also alleviate hand tremor effectively by applying the Kalman filter to the data variation for x and y. In this study, we obtain a tilt compensation by applying the compensation algorithm on acceleration of the gravity of the extracted data. Moreover, in order to correct the inaccuracy on smart sensors due to the rapid movement of a device, we propose a hybrid genetic approach.
Keywords:MEMS sensor Pointing and correction Quaternion Kalman filter Tilt compensation Genetic algorithm
This research was supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea (NRF) through the Human Resource Training Project for Regional Innovation.(No. 2012-04A0301912010100).
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