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Combining inertial and visual sensing for human action recognition in tennis

Ó Conaire, Ciarán and Connaghan, Damien and Kelly, Philip and O'Connor, Noel E. (2010) Combining inertial and visual sensing for human action recognition in tennis. In: ARTEMIS 2010 - 1st ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams, 29 October, 2010, Firenze, Italy. ISBN 978-1-4503-0163-3

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Abstract

In this paper, we present a framework for both the automatic extraction of the temporal location of tennis strokes within a match and the subsequent classification of these as being either a serve, forehand or backhand. We employ the use of low-cost visual sensing and low-cost inertial sensing to achieve these aims, whereby a single modality can be used or a fusion of both classification strategies can be adopted if both modalities are available within a given capture scenario. This flexibility allows the framework to be applicable to a variety of user scenarios and hardware infrastructures. Our proposed approach is quantitatively evaluated using data captured from elite tennis players. Results point to the extremely accurate performance of the proposed approach irrespective of input modality configuration.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in:Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams. . Association for Computing Machinery. ISBN 978-1-4503-0163-3
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/1877868.1877882
Copyright Information:©2010 Association for Computing Machinery
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15541
Deposited On:25 Nov 2010 16:47 by Philip Kelly. Last Modified 25 Nov 2010 16:47

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