Gestures performed accompanying the voice are essential for voice interaction to convey
complementary semantics for interaction purposes such as wake-up state and input …

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 …

Imagine being able to listen to the birds chir** in a park without hearing the chatter from
other hikers, or being able to block out traffic noise on a busy street while still being able to …

Head tracking is a technique that allows for the measurement and analysis of human focus
and attention, thus enhancing the experience of human–computer interaction (HCI) …

Automatic unknown word detection techniques can enable new applications for assisting
English as a Second Language (ESL) learners, thus improving their reading experiences …

We present MAF, a novel acoustic sensing approach that leverages the commodity
hardware in bone conduction earphones for hand-to-face gesture interactions. Briefly, by …

Human Activity Recognition (HAR) is an attractive topic to perceive human behavior and
supplying assistive services. Besides the classical inertial unit and vision-based HAR …

Multimodal sensors provide complementary information to develop accurate machine-
learning methods for human activity recognition (HAR), but introduce significantly higher …

Subject-aware vocal activity sensing on wearables, which specifically recognizes and
monitors the wearer's distinct vocal activities, is essential in advancing personal health …

Modern information querying systems are progressively incorporating multimodal inputs like
vision and audio. However, the integration of gaze---a modality deeply linked to user intent …