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학술지 Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators
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저자
서상우, 김명규, 김예진
발행일
201804
출처
Sensors, v.18 no.5, pp.1-13
ISSN
1424-8220
출판사
MDPI AG
DOI
https://dx.doi.org/10.3390/s18051323
초록
Estimation of the motion of ball-shaped objects is essential for the operation of ball sport simulators. In this paper, we propose an estimation system for 3D ball motion, including speed and angle of projection, by using acoustic vector and infrared (IR) scanning sensors. Our system is comprised of three steps to estimate a ball motion: sound-based ball firing detection, sound source localization, and IR scanning for motion analysis. First, an impulsive sound classification based on the mel-frequency cepstrum and feed-forward neural network is introduced to detect the ball launch sound. An impulsive sound source localization using a 2D microelectromechanical system (MEMS) microphones and delay-and-sum beamforming is presented to estimate the firing position. The time and position of a ball in 3D space is determined from a high-speed infrared scanning method. Our experimental results demonstrate that the estimation of ball motion based on sound allows a wider activity area than similar camera-based methods. Thus, it can be practically applied to various simulations in sports such as soccer and baseball.
키워드
3D ball motion, Acoustic sensor, Beamforming, Infrared scanning, Sound source localization, Sports simulator
KSP 제안 키워드
3D space, Acoustic Sensor, Ball motion, Feedforward neural networks, High Speed, Impulsive sound, Infrared scanning, Mel-frequency cepstrum, Micro-electro-mechanical system(MEMS), Motion estimation(ME), Scanning method
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