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Unobtrusive bioanalytics for impact–related sport activities

Abstract:

A preliminary study was performed to determine the potential of an image analysis methodology to detect breathing parameters using a smart mouthguard. The smart mouthguard would be enabled with a light-emitting diode (LED) to transfer information regarding relevant breathing frequencies. The detection accuracies of Viola-Jones based algorithms were determined using a video stream of a virtual LED enabled mouthguard. A good accuracy for the detection of the LED enabled mouthguard was found and...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1007/978-3-319-94000-7_29

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
Publisher:
Springer Publisher's website
Volume:
792
Pages:
285-293
Series:
Advances in Intelligent Systems and Computing
Publication date:
2018-06-28
Acceptance date:
2018-03-03
DOI:
EISBN:
978-3-319-94000-7
ISSN:
2194-5357
Pubs id:
pubs:858910
URN:
uri:6a3a8b03-b07d-47fa-b851-2cc3aa36a583
UUID:
uuid:6a3a8b03-b07d-47fa-b851-2cc3aa36a583
Local pid:
pubs:858910
ISBN:
978-3-319-93999-5

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