In this work, we evaluate the feasibility of deploying ubiquitous WiFi sensing systems at the
edge and consider the applicability of existing techniques on constrained edge devices and …

Wireless sensing represented by WiFi channel state information (CSI) is now enabling
various fields of applications such as person identification, human activity recognition …

Wireless Underground Sensor Networks (WUSNs) that collect geospatial in situ sensor data
are a backbone of internet-of-things (IoT) applications for agriculture and terrestrial ecology …

Deploying machine learning models on-board edge devices allows for low latency model
inference and data privacy by keeping sensor data local to the computation rather than at a …

Physical therapy (PT) exercises are critically important for the rehabilitation of patients with
motor deficits. While rehabilitation exercises can be most effective when performed properly …

Moisture content detection is crucial in grain trade and storage processes. To address the
high cost and invasive of traditional methods, inexpensive commercial Wi-Fi devices have …

In recent times, WiFi signals have been widely used in wireless sensing applications for
detecting large-scale environmental or physical characteristics, like human count and …

Soil moisture sensing plays an important role in agriculture, especially in greenhouses or
vertical farms. However, existing soil moisture sensing systems are either expensive and …

Although device-free human activity recognition (HAR) has been among the commonly
investigated HAR methods in the past few years, a neglected topic in this field is the sensor …

The rapid development of the Internet of Things (IoT) has led to widespread availability of
smart sensors. For example, in the context of agriculture this enables the continuous …