Breathing Pattern Interpretation as an Alternative and Effective Voice Communication Solution.pdf (992.17 kB)
Breathing pattern interpretation as an alternative and effective voice communication solution
journal contribution
posted on 2018-06-04, 13:16 authored by Yasmin Elsahar, Kaddour Bouazza-Marouf, David KerrDavid Kerr, Atul Gaur, Vipul Kaushik, Sijung HuSijung HuAugmentative and alternative communication (AAC) systems tend to rely on the interpretation of purposeful gestures for interaction. Existing AAC methods could be cumbersome and limit the solutions in terms of versatility. The study aims to interpret breathing patterns (BPs) to converse with the outside world by means of a unidirectional microphone and researches breathing-pattern interpretation (BPI) to encode messages in an interactive manner with minimal training. We present BP processing work with (1) output synthesized machine-spoken words (SMSW) along with single-channel Weiner filtering (WF) for signal de-noising, and (2) k-nearest neighbor (k-NN) classification of BPs associated with embedded dynamic time warping (DTW). An approved protocol to collect analogue modulated BP sets belonging to 4 distinct classes with 10 training BPs per class and 5 live BPs per class was implemented with 23 healthy subjects. An 86% accuracy of k-NN classification was obtained with decreasing error rates of 17%, 14%, and 11% for the live classifications of classes 2, 3, and 4, respectively. The results express a systematic reliability of 89% with increased familiarity. The outcomes from the current AAC setup recommend a durable engineering solution directly beneficial to the sufferers.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
BiosensorsVolume
8Issue
48Pages
1 - 11 (11)Citation
ELSAHAR, Y. ... et al, 2018. Breathing pattern interpretation as an alternative and effective voice communication solution. Biosensors, 8 (2), 48.Publisher
MDPI AG ©The AuthorsVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/Acceptance date
2018-05-08Publication date
2018-05-15Notes
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativeccommons.org/licenses/by/4.0/eISSN
2079-6374Publisher version
Language
- en