Image-based visual hull of a tennis racket

Elliott, Nathan; Choppin, Simon; Goodwill, Simon; Allen, Tom

doi:10.1016/j.proeng.2012.04.154

Cited by 2 publications

(2 citation statements)

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“…Tracking the motion of the tennis racket together with the player's movements has been studied in many papers [2,3,4,9,12,13,14,15]. Three aspects of the racket are analysed: its velocity, swing and orientation.…”

Section: Related Researchmentioning

confidence: 99%

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Algorithms for Tennis Racket Analysis Based on Motion Data

Skublewska‐Paszkowska

Lukasik

Smółka

2016

Adv. Sci. Technol. Res. J.

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Modern technologies, such as motion capture systems (both optical and markerless), are more and more frequently used for athlete performance analysis due to their great precision. Optical systems based on the retro-reflective markers allow for tracking motion of multiple objects of various types. These systems compute human kinetic and kinematic parameters based on biomechanical models. Tracking additional objects like a tennis racket is also a very important aspect for analysing the player's technique and precision. The motion data gathered by motion capture systems may be used for analysing various aspects that may not be recognised by the human eye or a video camera. This paper presents algorithms for analysis of a tennis racket motion during two of the most important tennis strokes: forehand and backhand. An optical Vicon system was used for obtaining the motion data which was the input for the algorithms. They indicate: the velocity of a tennis racket's head and the racket's handle based on the trajectories of attached markers as well as the racket's orientation. The algorithms were implemented and tested on the data obtained from a professional trainer who participated in the research and performed a series of ten strikes, separately for: 1) forehand without a ball, 2) backhand without a ball, 3) forehand with a ball and 4) backhand with a ball. The computed parameters are gathered in tables and visualised in a graph.

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Section: Related Researchmentioning

confidence: 99%

“…Tracking a tennis racket using a markerless system (based on multiple cameras) and a visual hull is presented in [3]. Views of a tennis racket were recorded and segmented into binary images.…”

Section: Related Researchmentioning

confidence: 99%