After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

We present a framework for gesture customization requiring minimal examples from users,
all without degrading the performance of existing gesture sets. To achieve this, we first …

Despite advances in audio-and motion-based human activity recognition (HAR) systems, a
practical, power-efficient, and privacy-sensitive activity recognition system has remained …

Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for
human activity recognition, offering signal richness approaching that of microphones and …

Smart Homes have come a long way: From research laboratories in the early days, through
(almost) neglect, to their recent revival in real-world environments enabled through the …

Silent speech interface is a promising technology that enables private communications in
natural language. However, previous approaches only support a small and inflexible …

Imagine in the future people comfortably wear augmented reality (AR) displays all day, how
do we design interfaces that adapt to the contextual changes as people move around? In …

Voice assistants capable of answering user queries during various physical tasks have
shown promise in guiding users through complex procedures. However, users often find it …

Millimeter wave radar is a promising sensing modality for enabling pervasive and privacy-
preserving human sensing. However, the lack of large-scale radar datasets limits the …

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