Detecting Face-Mask Wearing Status Using Motion Sensors in Commercially Available Smartwatches-Reference-Cited by-同舟云学术

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Detecting Face-Mask Wearing Status Using Motion Sensors in Commercially Available Smartwatches

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom)
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Author:

Ono Shota¹,Nishiyama Yuuki²,Sezaki Kaoru²

Affiliation:

1. Institute of Industrial Science,The University of Tokyo,Tokyo,Japan

2. The University of Tokyo,Center for Spatial Information Science,Chiba,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9982624/9982728/09982766.pdf?arnumber=9982766

Reference21 articles.

1. Face mask recognition from audio: The MASC database and an overview on the mask challenge

2. Phonetic, Frame Clustering and Intelligibility Analyses for the INTERSPEECH 2020 ComParE Challenge

3. Acoustic effects of medical, cloth, and transparent face masks on speech signals

4. The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and Implementation;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

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