文章基本信息

标题：Breathing Pattern Interpretation as an Alternative and Effective Voice Communication Solution
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作者：Yasmin Elsahar ; Kaddour Bouazza-Marouf ; David Kerr 等
期刊名称：Biosensors
电子版ISSN：2079-6374
出版年度：2018
卷号：8
期号：2
页码：48
DOI：10.3390/bios8020048
语种：English
出版社：MDPI Publishing
摘要：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.
关键词：breathing interpretation; alternative and augmentative communication; acoustic sensors; pattern classification; voice communication breathing interpretation ; alternative and augmentative communication ; acoustic sensors ; pattern classification ; voice communication