As intelligent systems become increasingly important in our daily lives, new ways of
interaction are needed. Classical user interfaces pose issues for the physically impaired and …

Mammalian neural circuits respond to different sensory stimuli by firing spikes at particular
times. Closely mimicking this phenomenon, the evolving 3rd generation neural networks …

The gesture is one of the most used forms of communication between humans; in recent
years, given the new trend of factories to be adapted to Industry 4.0 paradigm, the scientific …

Convolutional neural networks (CNNs) are now the de facto solution for computer vision
problems thanks to their impressive results and ease of learning. These networks are …

Human computer interaction facilitates intelligent communication between humans and
computers, in which gesture recognition plays a prominent role. This paper proposes a …

In recent years, a new generation of low-power, neuromorphic, event-based vision sensors
has been gaining popularity for their very low latency and data sparsity. Though the …

Human computer interaction facilitates intelligent communication between humans and
computers, in which gesture recognition plays a prominent role. This paper proposes a …

Due to technological advances, machines are increasingly present in people's daily lives.
Thus, there has been more and more effort to develop interfaces that provide an intuitive …

Gestures have long been recognized as an interaction technique that can provide a more
natural, creative, and intuitive way to communicate with computers. However, some existing …

Gesture recognition is an important task with the potential to revolutionize human/computer
interfaces (HCI). Gestures, however, are dynamic. While a few gestures may be static poses …