Cited by 5Infection Control and VentilationContext-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

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Cough Activated Dynamic Face Visor

Open access
Luukkonen, Timo, Colley, Ashley, Seppänen, Tapio, Häkkilä, Jonna·2021·Augmented Humans Conference 2021

Abstract

In this demo, we present a cough activated face visor, where the transparent visor screen moves to cover the wearer’s face when coughing sounds are detected. The cough detection is performed by a TinyML machine learning model, running on a microcontroller integrated to the visor’s headband. We make no claims regarding the direct impact of our prototype in preventing the spread of Covid-19, but hope it inspires discussion on future smart solutions in the area of personal protective equipment (PPE). Additionally, we note that visibility of the visor’s operation potentially encourages observers to adopt preventative measures such as hygiene practices and social distancing.

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Crossref · 10.1145/3458709.3459000

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  • Luukkonen et al. (2021) present a cough-activated face visor that can be opened and closed when a cough sound is detected.

    “In (Luukkonen et al., 2021), a cough activated face visor is presented.”

    From A review on TinyML: State-of-the-art and prospects (2022) · cites this paper as Luukkonen et al., 2021

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Research works printed but not linked: 6

  1. 10.1145/3410531.3414303 · DOI
  2. 10.1145/3419249.3420155 · DOI
  3. 10.1145/2807442.2807452 · DOI
  4. Saša Pišot , Ivana Milovanović , Boštjan Šimunič , Ambra Gentile , Ksenija Bosnar , Franjo Prot , Antonino Bianco , Gianluca Lo Coco , Sunčica Bartoluci , Darko Katović , 2020. Maintaining everyday life praxis in the time of COVID-19 pandemic measures (ELP-COVID-19 survey). European journal of public health 30, 6 ( 2020 ), 1181–1186. Saša Pišot, Ivana Milovanović, Boštjan Šimunič, Ambra Gentile, Ksenija Bosnar, Franjo Prot, Antonino Bianco, Gianluca Lo Coco, Sunčica Bartoluci, Darko Katović, 2020. Maintaining everyday life praxis in the time of COVID-19 pandemic measures (ELP-COVID-19 survey). European journal of public health 30, 6 (2020), 1181–1186.
  5. 10.1145/2677199.2680568 · DOI
  6. 10.1145/2370216.2370269 · DOI · Paper page

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Metadata

Authors
Luukkonen, T., Colley, A., Seppänen, T., & Häkkilä, J.
Affiliations
  • University of Lapland (FI)
  • University of Oulu (FI)
Venue
Augmented Humans Conference 2021
Publisher
ACM
Published
2021-02-22
Pages
295-297
OpenAlex
W3179256173
Cited by
5
References
0
Citations by year
2023: 1 · 2022: 2 · 2021: 2
FWCI
4.50
Type
conference paper
Language
en
Open access
Locations
  • Augmented Humans International Conference (AHs) (publishedVersion)
  • LaCRIS (University of Lapland) (publishedVersion, other-oa)
Funders
  • Academy of Finland
  • Business Finland
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Infection Control and Ventilation
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
cough detection, TinyML, microcontroller, headbands, COVID-19 prevention, hygiene practices, social distancing

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