Acceleration and rotation rate profile comparison from inertial sensors mounted on the service arm between tennis players of different skill level

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Title: Acceleration and rotation rate profile comparison from inertial sensors mounted on the service arm between tennis players of different skill level
Authors: Patterson, MatthewCaulfield, BrianConroy, Luke
Permanent link: http://hdl.handle.net/10197/2946
Date: Nov-2010
Online since: 2011-05-24T10:52:10Z
Abstract: Biomechanical performance is an important factor for developing tennis players. The tennis serve happens so quickly that it can be difficult for even the trained eye of an experienced coach to identify the miniscule movement differences that can make the difference between being a successful player and not. Traditionally, biomechanical information is captured with an optical-marker system, which is expensive and requires a specialized team to operate (Tanabe & Ito, 2007). Advances in wearable sensor technology means that it might one day be possible to measure kinematics from sensors embedded in athletic clothing. Currently, there are inertial sensors which can be used in training, but are too cumbersome for an athlete to wear in a game situation. The initial step is to use these sensors to determine what type of information it is possible to get from inertial sensors on the athlete, which is the purpose of this study.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: BMJ
Journal: British Journal of Sports Medicine
Volume: 44
Issue: 14
Start page: i25
End page: i26
Keywords: Biomechanical performanceTennisWearable sensor technologyKinematics
Subject LCSH: Biomechanics
Wearable computers
Biosensors
Tennis--Training--Technological innovations
Kinematics
DOI: 10.1136/bjsm.2010.078972.78
Other versions: http://dx.doi.org/10.1136/bjsm.2010.078972.78
Language: en
Status of Item: Peer reviewed
Conference Details: Poster presentation at ISSSM 2010. Newcastle, November 2010
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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