• Title/Summary/Keyword: Tilt Sensor

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Design and Implementation of Fuzzy-based Algorithm for Hand-shake State Detection and Error Compensation in Mobile OIS Motion Detector (모바일 OIS 움직임 검출부의 손떨림 상태 검출 및 오차 보상을 위한 퍼지기반 알고리즘의 설계 및 구현)

  • Lee, Seung-Kwon;Kong, Jin-Hyeung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.8
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    • pp.29-39
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    • 2015
  • This paper describes a design and implementation of fuzzy-based algorithm for hand-shake state detection and error compensation in the mobile optical image stabilization(OIS) motion detector. Since the gyro sensor output of the OIS motion detector includes inherent error signals, accurate error correction is required for prompt hand-shake error compensation and stable hand-shake state detection. In this research with a little computation overhead of fuzzy-based algorithm, the hand-shake error compensation could be improved by quickly reducing the angle and phase error for the hand-shake frequencies. Further, stability of the OIS system could be enhanced by the hand-shake states of {Halt, Little vibrate, Big vibrate, Pan/Tilt}, classified by subdividing the hand-shake angle. The performance and stability of the proposed algorithm in OIS motion detector is quantitatively and qualitatively evaluated with the emulated hand-shaking of ${\pm}0.5^{\circ}$, ${\pm}0.8^{\circ}$ vibration and 2~12Hz frequency. In experiments, the average error compensation gain of 3.71dB is achieved with respect to the conventional BACF/DCF algorithm; and the four hand-shake states are detected in a stable manner.

Development of a New Training System for the Improvement of Equibrilium Sense (평형 감각 증진을 위한 새로운 훈련 장치의 개발)

  • Lee Jung Ok;Park Young Gun;No Pang Hwang;Hong Chul Un;Kim Nam Gyun
    • Journal of Biomedical Engineering Research
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    • v.25 no.6
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    • pp.465-469
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    • 2004
  • We propose a new training system for the improvement of equilibrium sense using unstable platform. This system consists of unstable platform, computer interface and various softwares. The unstable platform was a simple structure of elliptical-type which included tilt sensor and wireless RF module. To evaluate the effort of balance training, we measured the parameters such as the moving time to the target and duration to maintain cursor in the target of screen. Balance training was carried out for two weeks and we classified the subjects into two groups by the training program. As a result, the moving time was reduced and duration time was lengthened through the repeating training of equilibrium sense using training program of sine curve trace(SCT) and Block game. Especially, there was remarkable improvement at direction which was too difficult for the subjects to balance their body. It was showed that this system had an effort on improving equilibrium sense and might be applied to clinical use as an effective balance training system.