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

Khuong An Nguyen, Zhiyuan Luo

    Research output: Contribution to conferencePaperpeer-review

    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).
    Country/TerritoryNetherlands
    Period11/06/1813/06/18
    Internet address

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