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Title: Breathing pattern interpretation as an alternative and effective voice communication solution
Authors: Elsahar, Yasmin
Bouazza-Marouf, Kaddour
Kerr, David
Gaur, Atul
Kaushik, Vipul
Hu, Sijung
Keywords: Breathing interpretation
Alternative and augmentative communication
Acoustic sensors
Pattern classification
Voice communication
Issue Date: 2018
Publisher: MDPI AG ©The Authors
Citation: ELSAHAR, Y. ... et al, 2018. Breathing pattern interpretation as an alternative and effective voice communication solution. Biosensors, 8 (2), 48.
Abstract: Augmentative 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.
Description: 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/
Version: Published
DOI: 10.3390/bios8020048
URI: https://dspace.lboro.ac.uk/2134/33299
Publisher Link: https://doi.org/10.3390/bios8020048
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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