Results 271 to 280 of about 5,789,969 (312)
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Evaluation of Hand-Tracking Systems in Teleoperation and Virtual Dexterous Manipulation

IEEE Sensors Journal, 2020
The quality of robotic dexterous manipulation, in real or in virtual environments, relies on a fine control of the fingertips to perform stable grasps and inside-hand manipulation.
C. Mizera   +5 more
semanticscholar   +1 more source

Hand tracking for behaviour understanding

Image and Vision Computing, 2002
Abstract A real-time computer vision system is described for tracking hands thus enabling behavioural events to be interpreted. Forearms are tracked to provide structural context, enabling mutual occlusion, which occurs when hands cross one another, to be handled robustly. No prior skin colour models are used.
McAllister, G.   +2 more
openaire   +2 more sources

Template-Based Hand Detection and Tracking

2005
Within this paper a technique for model-based 3D hand tracking is presented. A hand model is built from a set of truncated quadrics, approximating the anatomy of a real hand with few parameters. Given that the projection of a quadric onto the image plane is a conic, the contours can be generated efficiently.
Cipolla, R   +3 more
openaire   +2 more sources

Hand tracking in bimanual movements

Image and Vision Computing, 2005
A general hand-tracking algorithm is presented for tracking hands in bimanual movements. The problem is approached from a neuroscience point of view. Using a dynamic model and some motor control phenomena, the movement of the hands during a bimanual movement is recognised.
Atid Shamaie, Alistair Sutherland
openaire   +1 more source

HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos

Computer Vision and Pattern Recognition
We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in 3D. The dataset offers over 833 minutes (3.7M+ images) of recordings that feature 19 subjects interacting with 33 diverse rigid objects.
Prithviraj Banerjee   +13 more
semanticscholar   +1 more source

AR-KLT based Hand Tracking

ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication, 2006
This paper proposes a novel real-time robust hand tracking algorithm, integrating multi-cues, and a limb?s degree of freedom. For this purpose, we construct a limb model and maintain the model obtained from KLT-AR methods with respect to second-order auto-regression model and Kanade-Lucas-Tomasi(KLT) features, respectively.
Hye-jin Kim   +3 more
openaire   +1 more source

Hand tracking and gesture recognition

2015 International Conference on Pervasive Computing (ICPC), 2015
A communicative movement of human body parts having a specific message to be communicated by a receiver is denoted by a gesture. Gesture recognition helps to understand the meaning of human body movement that is movement of parts, which involves the movement of hand, head, arms, face or body.
Anagha Dhote, S. C. Badwaik
openaire   +1 more source

Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking

arXiv.org
We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in 3D. The dataset offers over 833 minutes (more than 3.7M images) of multi-view RGB/monochrome image streams showing 19 subjects interacting with 33 diverse rigid ...
Prithviraj Banerjee   +11 more
semanticscholar   +1 more source

Hand tracking with physiological constraints

The Visual Computer, 2016
Articulated hand tracking systems have been commonly used in virtual reality applications, including systems with human–computer interaction or interaction with game consoles; hand pose estimation has various other applications comprising sign language recognition and animation synthesis.
Aristidou, Andreas, Aristidou, Andreas
openaire   +2 more sources

Magnetic hand tracking for human-computer interface

Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, 2010
Hand motion tracking is useful in human-computer interface and many other applications requiring human-machine interactions. In this work, permanent magnets and contactless magnetic sensors are used to track finger motion. A magnet patch is affixed to each fingernail to mark the location and orientation of the fingertip. When fingers move, the combined
Yinghong Ma   +5 more
openaire   +1 more source

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