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 …

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 …

Given the recent surge of significant interest in implementing intelligent hand gesture
recognition methods in human-machine interface systems, a wide variety of Deep Neural …

Radar-based hand gesture recognition is a promising alternative to the camera-based
solutions since radar is not impacted by lighting conditions and has no privacy concerns …

In this paper, we present an integrated system-on-module for design-space exploration of
neurosynaptic behavior in non-volatile memory enhanced spiking neural networks. The …

In this paper, we propose a novel radar-based air-writing system using spiking neural
network (SNN), enabling user to input characters into a user interface by drawing on …

Over the last decade, radar-based systems have become a popular approach in intelligent
human-computer interfaces due to their ability to work in any environmental condition while …

Hand Gesture Recognition (HGR) using surface Electromyogram (sEMG) signals can be
considered as one of the most important technologies in making efficient Human Machine …

Both pedestrians and cyclists as vulnerable road users (VRUs) always exhibit agile and
complex behaviors whose safety protection has attracted the highest priority concerns in the …