Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …

The increasing availability of low-cost wearable devices and smartphones has significantly
advanced the field of sensor-based human activity recognition (HAR), attracting …

One of the primary challenges in the field of human activity recognition (HAR) is the lack of
large labeled datasets. This hinders the development of robust and generalizable models …

Deep learning shows promising performance in wireless sensing. However, deep wireless
sensing (DWS) heavily relies on large datasets. Unfortunately, building comprehensive …

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 …

The scarcity of training data available for IMUs in wearables poses a serious challenge for
IMU-based American Sign Language (ASL) recognition. In this paper, we ask the following …

There is increasing interest in deploying building-scale, general-purpose, and high-fidelity
sensing to drive emerging smart building applications. However, the real-world deployment …

With the rapid developments of Internet of Thing (IoT) technologies, side-channel sound
sensing has become a key research area. Unlike traditional sound sensing methods that …

Radio-Frequency (RF) based human activity recognition (HAR) enables many attractive
applications such as smart home, health monitoring, and virtual reality (VR). Among multiple …

Nod and shake of one's head are intuitive and universal gestures in communication. As
smartwatches become increasingly intelligent through advances in user activity sensing …