In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …

Gesture recognition in dynamic images is challenging in computer vision, automation and
medical field. Hand gesture tracking and recognition between both human and computer …

Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation
methods have been used to assess the effects of stroke on the performance of activities of …

This article provides an overview of recent progress in the achievement of non-contact
intraoperative image control through the use of vision and sensor technologies in operating …

Automatic surgical action detection in the operating room (OR) is a fundamental technique
for developing next-generation intelligent surgical equipment and operational …

Disability is one of a person's physical and mental conditions that can inhibit normal daily
activities. One of the disabilities that can be found in disability is speech without fingers …

In the field of multi-modal hand gesture recognition (HGR) systems, the scarcity of
comprehensive datasets poses a significant limitation to the development and evaluation of …

In the last decades, Hand Gesture Recognition (HGR) has become one of the most
prominent research topics, due to its wide range of applications in computer vision. Various …

Grasping is the most natural and primary interaction paradigm people perform every day,
which allows us to pick up and manipulate objects around us such as drinking a cup of …

When users interact with mid-air gesture-based interfaces, it is not always clear what
interactions are available, or how they might be executed. Mid-air interfaces offer no tactile …