Our hands serve as a fundamental means of interaction with the world around us. Therefore,
understanding hand poses and interaction contexts is critical for human-computer …

Face authentication (FA) schemes are universally adopted. However, current FA systems
are mainly camera-based and hence susceptible to face occlusion (eg, facial masks) and …

We present EchoSpeech, a minimally-obtrusive silent speech interface (SSI) powered by
low-power active acoustic sensing. EchoSpeech uses speakers and microphones mounted …

In this paper, we introduce EyeEcho, a minimally-obtrusive acoustic sensing system
designed to enable glasses to continuously monitor facial expressions. It utilizes two pairs of …

Facial expression recognition (FER) is a crucial task for human-computer interaction and a
multitude of multimedia applications that typically call for friendly, unobtrusive, ubiquitous …

In this paper, we proposed F2Key, the first earable physical security system based on
commercial off-the-shelf headphones. F2Key enables impactful applications, such as …

Speech enhancement is regarded as the key to the quality of digital communication and is
gaining increasing attention in the research field of audio processing. In this paper, we …

This work presents AttFL, a federated learning framework designed to continuously improve
a personalized deep neural network for efficiently analyzing time-series data generated from …

We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses.
Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand …

Recognizing facial activity is a well-understood (but non-trivial) computer vision problem.
However, reliable solutions require a camera with a good view of the face, which is often …