Automotive perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …

Radar offers a promising modality for enabling gesture recognition, which is a simple and
intuitive alternative to click and touch-based human–computer interface. In this article, we …

The increasing integration of technology in our daily lives demands the development of
more convenient human–computer interaction (HCI) methods. Most of the current hand …

With the recent advancements in radar systems, radar sensors offer a promising and
effective perception of the surrounding. This includes target detection, classification and …

Target localization and classification from radar point clouds is a challenging task due to the
inherently sparse nature of the data with highly non-uniform target distribution. This work …

One of the main challenges in developing embedded radar-based gesture recognition
systems is the requirement of energy efficiency. To facilitate this, we present an embedded …

The paper proposes a data-driven pre-processing optimization for radar data using a
parametric convolutional neural network. The proposed method is applied on human activity …

The increasing significance of technology in daily lives led to the need for the development
of convenient methods of human-computer interaction (HCI). Given that the existing HCI …

In many industrial or healthcare contexts, keeping track of the number of people is essential.
Radar systems, with their low overall cost and power consumption, enable privacy-friendly …

Gesture recognition is a natural and intuitive human computer-interface compared to
traditional interfaces such as mouse and keyboards. Radar forms a promising modality for …