This paper presents a literature review on the use of depth for hand tracking and gesture
recognition. The survey examines 37 papers describing depth-based gesture recognition …

In contrast to speech recognition, whose speech features have been extensively explored in
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …

This paper presents preliminary results of the application of two-Kinect cameras system on a
two-wheeled indoor mobile robot for off-line optimal path planning and execution. In our …

As robots become more ubiquitous, it is increasingly important for untrained users to be able
to interact with them intuitively. In this work, we investigate how people refer to objects in the …

Face recognition algorithms generally use 2D images for feature extraction and matching. In
order to achieve better performance, 3D faces captured via specialized acquisition methods …

This work presents a series of demonstrations of our self-reconfigurable modular robots
(SRMR)“Roombots” in the context of adaptive and assistive furniture. In literature …

Sign language is a visual language used by deaf people. One difficulty of sign language
recognition is that sign instances of vary in both motion and shape in three-dimensional (3D) …

Dynamic hand gesture recognition, as an essential part of Human–Computer Interaction,
and especially an important way to realize Augmented Reality, has been attracting attention …

Human–robot interaction (HRI) has become a research hotspot in computer vision and
robotics due to its wide application in human–computer interaction (HCI) domain. Based on …

Natural and intuitive human interaction with robotic systems is a key point to develop robots
assisting people in an easy and effective way. In this paper, a Human Robot Interaction …