Cover your cough: Detection of respiratory events with confidence using a smartwatch

Khuong An Nguyen, Zhiyuan Luo

Research output: Contribution to conferencePaper

Abstract

Cough and sneeze are the most common means to spread respiratory diseases amongst humans. Existing approaches to detect coughing and sneezing events are either intrusive or do not provide any reliability measure. This paper offers a novel proposal to reliably and non-intrusively detect such events using a smartwatch as the underlying hardware, Conformal Prediction as the underlying software. We rigorously analysed the performances of our proposal with the Harvard ESC Environmental Sound dataset, and real coughing samples taken from a smartwatch in different ambient noises.
Original languageEnglish
Publication statusPublished - Jun 2018
Event7th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2018). - , Netherlands
Duration: 11 Jun 201813 Jun 2018
https://cml.rhul.ac.uk/copa2018/

Conference

Conference7th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2018).
CountryNetherlands
Period11/06/1813/06/18
Internet address

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  • Cite this

    Nguyen, K. A., & Luo, Z. (2018). Cover your cough: Detection of respiratory events with confidence using a smartwatch. Paper presented at 7th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2018)., Netherlands. http://khuong.uk/Papers/cover_your_cough.pdf