In this paper, we explore the properties of the Channel State Information (CSI) of WiFi
signals and present a device-free indoor activity recognition system. Our proposed system …

Recent research have devoted significant efforts on the utilization of WiFi signals to
recognize various human activities. An individual's limb motions in the WiFi spectrum could …

Human computer operations such as writing documents and playing games have become
popular in our daily lives. These activities (especially if identified in a non-intrusive manner) …

The ability to detect gunshots can provide someone with invaluable information in various
circumstances. For the military and public servants, detecting gunshots can help save lives …

Situationally Induced Impairments and Disabilities (SIIDs) can significantly hinder user
experience in contexts such as poor lighting, noise, and multi-tasking. While prior research …

Smartphones are equipped with a set of sensors that describe the environment (eg, GPS,
noise, etc.) and their current status and usage (eg, battery consumption, accelerometer …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

Human activity recognition (HAR) technology that analyzes and fuses the data acquired from
various homogeneous or heterogeneous sensor sources has motivated the development of …

We survey the state-of-the-art in offboard diagnostics for vehicles, their occupants, and
environments, with particular focus on vibroacoustic approaches. We identify promising …

In this paper, we propose new deep learning architectures to fuse data provided by multiple
sensors. More specifically, we combine classical features extracted from a sensor and raw …