作者
Md Mahbubur Rahman, Tousif Ahmed, Mohsin Yusuf Ahmed, Minh Dinh, Ebrahim Nemati, Jilong Kuang, Jun Alex Gao
发表日期
2022/9/20
期刊
Proceedings of the ACM on Human-Computer Interaction
卷号
6
期号
MHCI
页码范围
1-18
出版商
ACM
简介
Breathing exercises reduce stress and improve overall mental well-being. There are various types of breathing exercises. Performing the exercises correctly may give the best outcome and doing it in wrong ways can sometimes have adverse effect. Providing real-time biofeedback can greatly improve the user experience in doing the right exercises in the right ways. In this paper, we present methods to passively track breathing biomarkers in real-time using wireless commodity earbuds and generate feedback on users' breathing performance. We use the earbud's low-power accelerometer to generate a comprehensive set of breathing biomarkers including breathing phase, breathing rate, depth of breathing, and breathing symmetry. We have conducted studies where the subjects performed different types of guided breathing exercises while wearing the earbuds. Our algorithms detect breathing phases with 90.91 …
引用总数
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MM Rahman, T Ahmed, MY Ahmed, M Dinh, E Nemati… - Proceedings of the ACM on Human-Computer …, 2022