@inproceedings{7fb0b9ee6a64476089ec93f08b8f67ad,
title = "Hand hygiene compliance checking system with explainable feedback",
abstract = "Hand-washing has several components that have to be performed in a temporally aligned sequence as recommended by WHO/CDC. In this paper, we propose an armband based hand wash compliance checking mechanism that can identify if a component of the WHO/CDC recommendations are missing. Appropriate alert mechanism can then inform the user to redo the missing components. Tests on data collected from 20 subjects, show a 10 fold user-independent accuracy of detecting compliant hand washing at 88\%, precision 0.89 and recall 0.85. The mechanism can identify missing components in around 350 out of 500 non-compliant hand wash routines.",
keywords = "Covid 19, armband, hand washing compliance",
author = "Ayan Banerjee and Amperyani, {Venkata Naga Sai Apurupa} and Gupta, {Sandeep K.S.}",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 6th ACM Workshop on Wearable Systems and Applications, WearSys 2020, Part of MobiSys 2020 ; Conference date: 19-06-2020",
year = "2020",
month = jun,
day = "19",
doi = "10.1145/3396870.3400015",
language = "English (US)",
series = "WearSys 2020 - Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, Part of MobiSys 2020",
publisher = "Association for Computing Machinery, Inc",
pages = "34--36",
booktitle = "WearSys 2020 - Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, Part of MobiSys 2020",
}