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- W4366547380 abstract "Enabling computing systems to understand user interactions with everyday surfaces and objects can drive a wide range of applications. However, existing vibration-based sensors (e.g., accelerometers) lack the sensitivity to detect light touch gestures or the bandwidth to recognize activity containing high-frequency components. Conversely, microphones are highly susceptible to environmental noise, degrading performance. Each time an object impacts a surface, Surface Acoustic Waves (SAWs) are generated that propagate along the air-to-surface boundary. This work repurposes a Voice PickUp Unit (VPU) to capture SAWs on surfaces (including smooth surfaces, odd geometries, and fabrics) over long distances and in noisy environments. Our custom-designed signal acquisition, processing, and machine learning pipeline demonstrates utility in both interactive and activity recognition applications, such as classifying trackpad-style gestures on a desk and recognizing 16 cooking-related activities, all with >97% accuracy. Ultimately, SAWs offer a unique signal that can enable robust recognition of user touch and on-surface events." @default.
- W4366547380 created "2023-04-22" @default.
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- W4366547380 date "2023-04-19" @default.
- W4366547380 modified "2023-10-18" @default.
- W4366547380 title "SAWSense: Using Surface Acoustic Waves for Surface-bound Event Recognition" @default.
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- W4366547380 doi "https://doi.org/10.1145/3544548.3580991" @default.
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