A hierarchical scheme for elastic graph matching applied to hand gesture recognition is proposed. The proposed algorithm exploits the relative discriminatory capabilities of visual features scattered on the images, assigning corresponding weights to each feature. A boosting algorithm is used to determine the structure of the hierarchy of a given graph. The graph is expressed by annotating nodes...

Published protocols for the volumetric assessment of upper-extremity edema differ regarding patients' posture. The present study was designed to determine the effect of posture on test-retest reliability and mean volume. Thirty women were tested in both seated and standing postures. For the dominant hand, test-retest reliabilities for the seated posture were identical to those for the standing ...

This paper describes a new approach for modeling the human hand by considering the dynamics and the natural constraints of the motion and the shape of hands. This hand model consists of a dynamic model and a surface model. The dynamic model is used to generate the posture of a hand. We show that the natural hand posture can be generated even when only a few hand parameters are available. The su...

Hand detection and gesture recognition are the active research area in the computer vision. The main purpose to develop the sign language recognition and Human Computer Interaction (HCI). This article investigates and develops the technique to recognize hand posture of Thai sign language in a complex background using fusion of depth and color video. The new technology of sensors, such as the Mi...

We present a method for real-time bare hand tracking that utilizes natural hand synergies to reduce the complexity and improve the plausibility of the hand posture estimation. The hand pose and posture are estimated by fitting a virtual hand model to the 3D point cloud obtained from a Kinect camera using an inverse kinematics approach. We use real human hand movements captured with a Vicon moti...

Hand gestures are an important modality for human computer interaction (HCI) [1]. Compared to many existing interfaces, hand gestures have the advantages of being easy to use, natural, and intuitive. Successful applications of hand gesture recognition include computer games control [2], human-robot interaction [3], and sign language recognition [4], to name a few. Vision-based recognition syste...

Hand gestures are an important modality for human computer interaction (HCI) [1]. Compared to many existing interfaces, hand gestures have the advantages of being easy to use, natural, and intuitive. Successful applications of hand gesture recognition include computer games control [2], human-robot interaction [3], and sign language recognition [4], to name a few. Vision-based recognition syste...

Asymmetrical hand use by rhesus monkeys (Macaca mulatta) was investigated in a series of tactually and visually guided tasks. The 1st experiment recorded manual preferences of 29 monkeys for solving a haptic discrimination task in a hanging posture. There was a left-hand population bias: 21 monkeys had a left-hand bias, 4 a right-hand bias, and 4 no bias. The 2nd experiment, 4 tasks with 23 to ...

background: musculoskeletal disorders (msds) are among important health problems in working population. because of performing difficult physical activities, hand-woven shoe-sole makers are at risk of developing various types of msds. objective: to determine the prevalence of musculoskeletal symptoms in different body areas of hand-woven shoe-sole makers, assess workers′ postures and workstation...