↓ Skip to main content

Kinematics Differences Between the Flat, Kick, and Slice Serves Measured Using a Markerless Motion Capture Method

Overview of attention for article published in Annals of Biomedical Engineering, October 2011
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
148 Mendeley
Title
Kinematics Differences Between the Flat, Kick, and Slice Serves Measured Using a Markerless Motion Capture Method
Published in
Annals of Biomedical Engineering, October 2011
DOI 10.1007/s10439-011-0418-y
Pubmed ID
Authors

Alison L. Sheets, Geoffrey D. Abrams, Stefano Corazza, Marc R. Safran, Thomas P. Andriacchi

Abstract

Tennis injuries have been associated with serving mechanics, but quantitative kinematic measurements in realistic environments are limited by current motion capture technologies. This study tested for kinematic differences at the lower back, shoulder, elbow, wrist, and racquet between the flat, kick, and slice serves using a markerless motion capture (MMC) system. Seven male NCAA Division 1 players were tested on an outdoor court in daylight conditions. Peak racquet and joint center speeds occurred sequentially and increased from proximal (back) to distal (racquet). Racquet speeds at ball impact were not significantly different between serve types. However, there were significant differences in the direction of the racquet velocity vector between serves: the kick serve had the largest lateral and smallest forward racquet velocity components, while the flat serve had the smallest vertical component (p < 0.01). The slice serve had lateral velocity, like the kick, and large forward velocity, like the flat. Additionally, the racquet in the kick serve was positioned 8.7 cm more posterior and 21.1 cm more medial than the shoulder compared with the flat, which could suggest an increased risk of shoulder and back injury associated with the kick serve. This study demonstrated the potential for MMC for testing sports performance under natural conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Netherlands 1 <1%
Portugal 1 <1%
Belgium 1 <1%
Unknown 142 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Ph. D. Student 23 16%
Student > Bachelor 19 13%
Researcher 15 10%
Student > Postgraduate 6 4%
Other 29 20%
Unknown 31 21%
Readers by discipline Count As %
Sports and Recreations 37 25%
Engineering 26 18%
Medicine and Dentistry 22 15%
Nursing and Health Professions 6 4%
Computer Science 4 3%
Other 14 9%
Unknown 39 26%