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Journal Article
Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators †
- Authors
- Sang-Woo Seo, Myunggyu Kim, Yejin Kim
- Issue Date
- 2018-04
- Citation
- Sensors, v.18, no.5, pp.1-13
- ISSN
- 1424-8220
- Publisher
- MDPI AG
- Language
- English
- Type
- Journal Article
- 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.
- KSP Keywords
- 3D space, Acoustic Sensor, Ball motion, Feedforward neural network(FNN), High Speed, Infrared scanning, Mel-frequency cepstrum, Micro-electro-mechanical system(MEMS), Motion estimation(ME), Scanning method, Sound Classification
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
