Titlebook: Computer Vision in Human-Computer Interaction; ECCV 2004 Workshop o Nicu Sebe,Michael Lew,Thomas S. Huang Conference proceedings 2004 Sprin

FORGO

Practical Interface Experiments with Implant Technologyresults obtained thus far from a study lasting for over 3 months are presented, with particular emphasis placed on the direct interaction between the human nervous system and a piece of wearable technology. An overview of the present state of neural implants is given, as well as a range of applicati

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licence

Real-Time Person Tracking and Pointing Gesture Recognition for Human-Robot Interactiona, color and disparity information are integrated into a multi-hypotheses tracking framework in order to find the 3D-positions of the respective body parts. Based on the hands’ motion, an HMM-based approach is applied to recognize pointing gestures. We show experimentally, that the gesture recogniti

genesis

A Vision-Based Gestural Guidance Interface for Mobile Robotic Platformstures inspired by the marshalling code. Images captured by an onboard color camera are processed at video rate in order to track the operator’s head and hands. The camera pan, tilt and zoom are adjusted by a fuzzy-logic controller so as to track the operator’s head and maintain it centered and prope

Carminative

extinguish

Galactogogue

Flavouring

Hand Gesture Recognition in Camera-Projector System*. In this configuration the main problem is that the hand surface reflects the projected background, thus we apply a robust hand segmentation method. Hand localizing is based on a background subtraction method, which adapts to the changes of the projected background. Hand poses are described by a me

Estimable

Authentic Emotion Detection in Real-Time Videoer would need to have some perception of the emotional state of the human. We assert that the most informative channel for machine perception of emotions is through facial expressions in video. One current difficulty in evaluating automatic emotion detection is that there are currently no internatio

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Hand Pose Estimation Using Hierarchical Detectionssifiers is arranged in a tree in order to recognize multiple object classes. We are interested in the problem of recognizing multiple patterns as it is closely related to the problem of locating an articulated object. Each different pattern class corresponds to the hand in a different pose, or set