Enhancing Tennis Practice: Sensor Fusion and Pose Estimation with a Smart Tennis Ball

This article demonstrates the integration of sensor fusion for pose estimation and data collection in tennis balls, aiming to create a smaller, less intrusive form factor for use in progressive learning during tennis practice. The study outlines the design and implementation of the Bosch BNO055 smart sensor, which features built-in managed sensor fusion capabilities. The article also discusses deriving additional data using various mathematical and simulation methods to present relevant orientation information from the sensor in Unity. Embedded within a Vermont practice foam tennis ball, the final prototype product communicates with Unity on a laptop via Bluetooth. The Unity interface effectively visualizes the ball's rotation, the resultant acceleration direction, rotations per minute (RPM), and the orientation relative to gravity. The system successfully demonstrates accurate RPM measurement, provides real-time visualization of ball spin and offers a pathway for innovative applications in tennis training technology.

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Publication Details

Journal
Sensors
Published
2024-08-16
DOI
https://doi.org/10.3390/s24165306
Citations
2
Primary Topic
Sports Dynamics and Biomechanics
Type
article
Field-Weighted Citation Impact
0.37
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article

Enhancing Tennis Practice: Sensor Fusion and Pose Estimation with a Smart Tennis Ball

Rami Ghannam, Xi Li, Yu Kit Foo
2 citations
Sensors
Sports Dynamics and Biomechanics
0.37
article

Enhancing Tennis Practice: Sensor Fusion and Pose Estimation with a Smart Tennis Ball

Rami Ghannam, Xi Li, Yu Kit Foo
article en
2 citations

Abstract

This article demonstrates the integration of sensor fusion for pose estimation and data collection in tennis balls, aiming to create a smaller, less intrusive form factor for use in progressive learning during tennis practice. The study outlines the design and implementation of the Bosch BNO055 smart sensor, which features built-in managed sensor fusion capabilities. The article also discusses deriving additional data using various mathematical and simulation methods to present relevant orientation information from the sensor in Unity. Embedded within a Vermont practice foam tennis ball, the final prototype product communicates with Unity on a laptop via Bluetooth. The Unity interface effectively visualizes the ball's rotation, the resultant acceleration direction, rotations per minute (RPM), and the orientation relative to gravity. The system successfully demonstrates accurate RPM measurement, provides real-time visualization of ball spin and offers a pathway for innovative applications in tennis training technology.

SensorsVol. 24(16)
University of Glasgow (GB)
Openalex Percentile: Top 44%
Sports Dynamics and Biomechanics
0.37
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Enhancing Tennis Practice: Sensor Fusion and Pose Estimation with a Smart Tennis Ball — Rami Ghannam, Xi Li, et al. · Sensors (2024) | TGRS Research Map | TGRS