iBreath: Usage Of Breathing Gestures as Means of Interactions
July 05, 2025 Β· Declared Dead Β· π Proc. ACM Hum. Comput. Interact.
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Authors
Mengxi Liu, Daniel GeiΓler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy
arXiv ID
2507.04162
Category
cs.HC: Human-Computer Interaction
Citations
3
Venue
Proc. ACM Hum. Comput. Interact.
Last Checked
4 months ago
Abstract
Breathing is a spontaneous but controllable body function that can be used for hands-free interaction. Our work introduces "iBreath", a novel system to detect breathing gestures similar to clicks using bio-impedance. We evaluated iBreath's accuracy and user experience using two lab studies (n=34). Our results show high detection accuracy (F1-scores > 95.2%). Furthermore, the users found the gestures easy to use and comfortable. Thus, we developed eight practical guidelines for the future development of breathing gestures. For example, designers can train users on new gestures within just 50 seconds (five trials), and achieve robust performance with both user-dependent and user-independent models trained on data from 21 participants, each yielding accuracies above 90%. Users preferred single clicks and disliked triple clicks. The median gesture duration is 3.5-5.3 seconds. Our work provides solid ground for researchers to experiment with creating breathing gestures and interactions.
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