Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …

Nowadays, wearable sensors play a vital role in the detection of human motions, innovating
an alternate and intuitive form in human–computer interaction (HCI). In this study, we …

Pen-based handwriting has become one of the major human-computer interaction methods.
Traditional approaches either require writing on the specific supporting device like the touch …

In this article, we introduce a new benchmark dataset for the challenging writing in the air
(WiTA) task—an elaborate task bridging vision and natural language processing (NLP) …

Most existing systems use portable devices or image processing techniques for handwritten
Chinese character recognition (HCCR), which are unable to detect character when writing …

In this paper, we present a new scheme for implementing virtual keyboards, which uses only
two to four motion-recognition rings per hand and a two-dimensional keyboard template (eg …

Efficient typing in a mobile device is a long-standing problem because of its small-size touch
screen. Methods for contactless solutions using acoustic sensors have been proposed …

Human–computer interaction is demanded for natural and convenient approaches, in which
finger-writing recognition has aroused more and more attention. In this paper, a device-free …

The problem of airwriting recognition is focused on identifying letters written by movement of
finger in free space. It is a type of gesture recognition where the dictionary corresponds to …

Airwriting Recognition refers to the problem of identification of letters written in space with
movement of the finger. It can be seen as a special case of dynamic gesture recognition …