Breath Activity Detection Algorithm
Sound
2016-02-26 v1
Abstract
This report describes the use of a support vector machines with a novel kernel, to determine the breathing rate and inhalation duration of a fire fighter wearing a Self-Contained Breathing Apparatus. With this information, an incident commander can monitor the firemen in his command for exhaustion and ensure timely rotation of personnel to ensure overall fire fighter safety
Cite
@article{arxiv.1602.07767,
title = {Breath Activity Detection Algorithm},
author = {Eric E. Hamke and Ramiro Jordan and Manel Ramon-Martinez},
journal= {arXiv preprint arXiv:1602.07767},
year = {2016}
}
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