SoundOff: Low-cost Passive Ultrasound Tags for Non-invasive and Non-Intrusive Smart Home Sensing
Yibo Fu, Vivian Shen, Víctor Riera Naranjo, Bolei Deng, Alexander Travis Adams, Josiah D. Hester
Abstract
Understanding in real time how we move, operate, and interact within living and working spaces is crucial to applications in smart buildings, elder care, and the automation industry. Myriads of systems have used complex electronics to capture this information, yet they often rely on independent sensors or devices that require active power and circuitry, also raising privacy concerns when using cameras or microphones. These solutions are often difficult to setup, have incompatible ecosystems, and require extra cost when upgrading already existing devices. In this paper, we propose SoundOff, a system that deploys ultra-low-cost, easily manufacturable, passive-ultrasound-emitting tags in any indoor environment (i.e., door knobs, toilet lids, cabinets, faucets, and windows), where the movement of this furniture causes a unique ultrasonic emission identifiable by a wearable device worn by users. These tags generate ultrasound signals during everyday interaction, above the range of human hearing, making them non-intrusive and non-invasive. This electronics-free, zero-infrastructure solution provides a scalable way to instrument spaces. Through a series of performance evaluations, we show that the ultrasonic emissions generated by SoundOff with different geometrical designs are not only robust to various environmental noises but also easily distinguishable from each other. Through physics-based modeling, we demonstrate how to systematically generate thousands of designs with unique and easily distinguishable ultrasonic emissions, enabling a wide range of interactions that can be mapped to custom automation systurce the work, including a geometric modeling pipeline and fabrication guide that enables design exploration, as well as an easily modifiable recognition system, allowing SoundOff tags to be replicated and disseminated throughout any indoor environment.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get d79fa9f2-dbe9-4980-87a7-64b67b28d63bRelated papers
- AcousTag : Batteryless 3D-Printed Acoustic Tag for Smart Speaker-based Event MonitoringGyuyeon Kim, Sehoon Lim, Jaewoo Son, Soundarya Ramesh et al.UbiComp 2026
- MechanoBeat: Monitoring Interactions with Everyday Objects using 3D Printed Harmonic Oscillators and Ultra-Wideband RadarMd. Farhan Tasnim Oshim, Julian Killingback, Dave Follette, Huaishu Peng et al.UIST 2020 · 11 citations
- CubeSense++: Smart Environment Sensing with Interaction-Powered Corner Reflector MechanismsXiaoying Yang, Jacob Sayono, Yang ZhangUIST 2023 · 8 citations
- HandSAW: Wearable Hand-based Event Recognition via On-Body Surface Acoustic WavesKaylee Yaxuan Li, Yasha Iravantchi, Yichen Zhu, Hyunmin Park et al.UbiComp 2025 · 5 citations
- Hapt-Aids: Self-Powered, On-Body Haptics for Activity MonitoringVivian Shen, Xiaoying Yang, Chris Harrison, Yang ZhangUbiComp 2025
