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Biometrics UbiComp 2022 Top-tier ★
ToothSonic: Earable Authentication via Acoustic Toothprint
Earable authentication using acoustic toothprint — the unique vibroacoustic signature produced when a user taps their teeth together. Transmitted through jawbone to ear canal and captured by in-ear microphone, each person's toothprint is structurally unique due to dental morphology.
Biometrics Continuous Auth UbiComp 2021
EarDynamic: Continuous Authentication via Ear Canal Deformation
Continuous user authentication using dynamic ear canal deformation — as users chew, speak, or make facial expressions, the ear canal subtly changes shape. These deformation patterns, captured acoustically, are uniquely tied to facial musculature and serve as a passive continuous identity signal.
Biometrics Deepfake Defense IEEE TMC 2025
DynamicLip: Shape-Independent Authentication via Lip Articulator Dynamics
A continuous authentication system using the unique dynamics of lip articulator movement during speech. Unlike shape-based lip recognition, DynamicLip captures the temporal motion patterns of the lip muscles — which remain consistent for each individual and cannot be replicated by deepfake or generative AI systems.
RF Sensing Privacy-Preserving HICSS-59 2026
UWB-PostureGuard: Privacy-Preserving RF Sitting Posture Monitoring
A contactless ergonomic monitoring system using Ultra-Wideband (UWB) radar that continuously tracks sitting posture without cameras or wearables. Designed for office and home environments where long sitting hours cause musculoskeletal problems, while preserving user privacy.
WiFi Sensing 3D Pose UbiComp 2022/21
GoPose & Winect: 3D Human Pose Estimation Using Commodity WiFi
Two related systems for camera-free 3D human pose estimation using commodity WiFi signals. GoPose captures 3D skeletal poses in arbitrary scenes; Winect extends this to free-form activity recognition. Both use channel state information (CSI) from off-the-shelf WiFi hardware — no depth camera needed.
Head Gestures Earables HICSS-58 2025
CochlearMotion: Head Gesture Recognition via Ear Canal Deformation
A hands-free interaction system that recognizes head gestures — nod, shake, tilt — by monitoring the deformation of the ear canal as neck and facial muscles move. Built entirely on in-ear microphone signals, enabling gesture-based control for AR/VR and accessibility applications.
Acoustic Sensing Accessibility UbiComp 2019
ObstacleWatch: Acoustic Obstacle Detection for Pedestrians
A smartphone-based system that uses acoustic signals to detect obstacles in a pedestrian's path. By analyzing reflected sound from the phone's speaker, the system alerts users about nearby obstacles — designed especially for visually impaired users navigating complex environments.