Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

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 …

Current study aimed at examining the change in customer behavior during COVID 19
pandemic towards e-shopping. Variables taken into perspective included (Frequency …

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 …

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

Recently, gesture recognition has gained considerable attention in emerging applications
(eg, AR/VR systems) to provide a better user experience for human-computer interaction …

We present a system for activity recognition from passive RFID data using a deep
convolutional neural network. We directly feed the RFID data into a deep convolutional …

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 …

Many object localization applications need the relative locations of a set of objects as
oppose to their absolute locations. Although many schemes for object localization using …