This paper surveys the state of the art on multimodal gesture recognition and introduces the
JMLR special topic on gesture recognition 2011–2015. We began right at the start of the …

The economy of scale provided by cloud attracts a growing number of organizations and
industrial companies to deploy their applications in cloud data centers (CDCs) and to …

This work addresses the problem of human body segmentation from multi-modal visual cues
as a first stage of automatic human behavior analysis. We propose a novel RGB–depth …

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 …

With the emergence of the Microsoft Kinect sensor, many developer communities and
research groups have found countless uses and have already published a wide variety of …

Praxis test is a gesture-based diagnostic test which has been accepted as diagnostically
indicative of cortical pathologies such as Alzheimer's disease. Despite being simple, this test …

We present an application of gesture recognition using an extension of dynamic time
war** (DTW) to recognize behavioral patterns of attention deficit hyperactivity disorder …

Realtime 3-D object detection and 6-DOF pose estimation in clutter background is crucial for
intelligent manufacturing, for example, robot feeding and assembly, where robustness and …

This paper presents a novel and robust descriptor, depth-projection-map-based bag of
contour fragments, which is applied to extraction of hand shape and structure information …

Three-dimensional (3-D) data have many applications in the field of computer vision and a
point cloud is one of the most popular modalities. Therefore, how to establish a good …