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Motion synthesis for sports using unobtrusive lightweight body-worn and environment sensing

Kelly, Philip, Ó Conaire, Ciarán, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Hodgins, Jessica (2013) Motion synthesis for sports using unobtrusive lightweight body-worn and environment sensing. Computer Graphics Forum, 32 (8). pp. 48-60. ISSN 1467-8659

Abstract
The ability to accurately achieve performance capture of athlete motion during competitive play in near real-time promises to revolutionise not only broadcast sports graphics visualisation and commentary, but also potentially performance analysis, sports medicine, fantasy sports and wagering. In this paper, we present a highly portable, non-intrusive approach for synthesising human athlete motion in competitive game-play with lightweight instru- mentation of both the athlete and field of play. Our data-driven puppetry technique relies on a pre-captured database of short segments of motion capture data to construct a motion graph augmented with interpolated mo- tions and speed variations. An athlete’s performed motion is synthesised by finding a related action sequence through the motion graph using a sparse set of measurements from the performance, acquired from both worn inertial and global location sensors. We demonstrate the efficacy of our approach in a challenging application scenario, with a high-performance tennis athlete wearing one or more lightweight body-worn accelerometers and a single overhead camera providing the athlete’s global position and orientation data. However, the approach is flexible in both the number and variety of input sensor data used. The technique can also be adopted for searching a motion graph efficiently in linear time in alternative applications.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:motion synthesis; data-driven; wearable devices; global position
Subjects:Engineering > Signal processing
Computer Science > Multimedia systems
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 > INSIGHT Centre for Data Analytics
Publisher:John Wiley & Sons
Official URL:http://dx.doi.org/10.1111/cgf.12143
Copyright Information:© 2013 John Wiley & Sons
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:19893
Deposited On:04 Apr 2014 10:00 by Noel Edward O'connor . Last Modified 19 Oct 2018 15:05
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