Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Wi-Fi localization and tracking face accuracy limitations dictated by antenna count (for angle-
of-arrival methods) and frequency bandwidth (for time-of-arrival methods). This paper …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Target imaging and material identification play an important role in many real-life
applications. This paper introduces TagScan, a system that can identify the material type …

Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …

Kinetic energy harvesting (KEH) may help combat battery issues in wearable devices. While
the primary objective of KEH is to generate energy from human activities, the harvested …

Customer behavior modeling and classification are well-studied areas for applications in
retail. Past studies implemented the purchase behavior modeling based on the physical …

Even though indoor smoking ban is being put into practice in civilized countries, existing
vision or sensor-based smoking detection methods cannot provide ubiquitous smoking …

In this paper, we design and develop RIO, a novel battery-free touch sensing user interface
(UI) primitive for future IoT and smart spaces. RIO enables UIs to be constructed using off-the …