Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

As a convenient and natural way of human-computer interaction, gesture recognition
technology has broad research and application prospects in many fields, such as intelligent …

Millimeter-wave (mmWave) radar sensors are a promising modality for gesture recognition
as they can overcome several limitations of optic sensors typically used for gesture …

With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

One of the key design requirements for any portable/mobile device is low power. To enable
such a low powered device, we propose an embedded gesture detection system that uses …

Sensing explicit communication signals like gestures provides autonomous vehicles (AVs)
expressive information about pedestrians' intentions. In automotive applications, gesture …

The advent of neural networks capable of learning salient features from radar data has
expanded the breadth of radar applications, often as an alternative sensor or a …

Radar-based gesture recognition combined machine learning methods can achieve
excellent performance and has been utilized in a wide variety of applications. However …

This study introduces a novel approach to radar-based hand gesture recognition (HGR),
addressing the challenges of energy efficiency and reliability by employing real-time gesture …

Contactless detection of hand gestures with radar has gained a lot of attention as an intuitive
form of human-computer interface. In this paper, we propose an air-writing system, writing of …