Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

With advancements of wireless and sensing technologies, recent studies have
demonstrated technical feasibility and effectiveness of using acoustic signals for sensing. In …

We propose SignFi to recognize sign language gestures using WiFi. SignFi uses Channel
State Information (CSI) measured by WiFi packets as the input and a Convolutional Neural …

With the proliferation of Internet-of-Things (IoT) devices, acoustic sensing attracts significant
attention in recent years. It exploits acoustic transceivers such as microphones and speakers …

With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …

Enabling touch gesture sensing on all surfaces of the mobile device, not limited to the
touchscreen area, leads to new user interaction experiences. In this paper, we propose …

Though playing an essential role in smart home systems, smart speakers are vulnerable to
voice spoofing attacks. Passive liveness detection, which utilizes only the collected audio …

With the rising of AR/VR technology and miniaturization of mobile devices, gesture
recognition is becoming increasingly popular in the research area of human-computer …

Eye blink detection plays a key role in many real-life applications such as Human-Computer
Interaction (HCI), drowsy driving prevention and eye disease detection. Although traditional …

Motion detection acts as a key component for a range of applications such as home security,
occupancy and activity monitoring, retail analytics, etc. Most existing solutions, however …