In this paper, a new tap detection algorithm, which uses adaptive peak tracking, is suggested. A low pass filter is used to track the time varing peaks of tap signals. The obtained peak is used to determine the threshold value for tap detection. Through experimental data analysis, it is found that the threshold value should be around 20% of the peak acceleration. A three axis MEMS accelerometer and a microprocessor is used for the experiments to check the validity of the proposed algorithm. Through experiments, it is demonstrated that the proposed algorithm could detect time varying tap signals very effectively, regardless of the environments or the user variations.
목차
Abstract I. 서론 II. 탭 측정 시스템 구성 III. 탭 동작 인식 기법 및 실험 3.1 가속도 데이터 및 신호 벡터 크기 3.2 실시간 신호 벡터 크기 데이터 처리 3.3 피크(peak)탐지 및 적응적 임계치 검출알고리즘 IV. 결론 [ 참고문헌 ]
키워드
tap detectionacceleration peak detectionadaptive threshold trackingmotion detection using accelerometers