Hand gestures, being a convenient and natural way of communication, is getting huge
attention for human–computer interface designs. Among these gestures, detecting mid-air …

Attention is the mental awareness of human on a particular object or a piece of information.
The level of attention indicates how intense the focus is on an object or an instance. In this …

Natural user interfaces based on hand gestures are becoming increasingly popular. The
need for expensive hardware left a wide range of interaction possibilities that hand tracking …

Understanding sign gestures is an essential step to hel** individuals with hearing
impaired. The existing works can only identify a small set of gestures accurately and the …

The act of writing letters or words in free space with body movements is known as air-writing.
Air-writing recognition is a special case of gesture recognition in which gestures correspond …

Air‐writing is a growing research topic in the field of gesture‐based writing systems. This
research proposes a unified, lightweight, and general‐purpose deep learning algorithm for a …

For hand gesture recognition, recurrent neural networks and 3D convolutional neural
networks are the most commonly used methods for learning the spatial–temporal features of …

In the field of human-computer interaction (HCI), handwriting trajectory tracking and
recognition have attracted significant attention due to their wide range of applications …

Wearable Internet of Things (IoT) devices can be used efficiently for gesture recognition
applications. The nature of these applications requires high recognition accuracy with low …

To date, scarce research has been conducted on the development of tools capable of
fostering the democratization of the access to collaborative music making over the network …