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Sensors 2018, 18(5), 1323; https://doi.org/10.3390/s18051323

Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators †

1
Creative Content Research Division, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea
2
School of Games, Hongik University, 2639 Sejong-ro, Jochiwon-eup, Sejong 30016, Korea
This paper is an extended version of Seo, S.-W. and Kim, M. Estimation of 3D ball motion using an infrared and acoustic vector sensor. In Proceedings of the 2017 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, 18–20 October 2017.
*
Author to whom correspondence should be addressed.
Received: 16 March 2018 / Revised: 18 April 2018 / Accepted: 24 April 2018 / Published: 25 April 2018
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Abstract

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. View Full-Text
Keywords: 3D ball motion; infrared scanning; sports simulator; acoustic sensor; beamforming; sound source localization 3D ball motion; infrared scanning; sports simulator; acoustic sensor; beamforming; sound source localization
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Seo, S.-W.; Kim, M.; Kim, Y. Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators †. Sensors 2018, 18, 1323.

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