Titlebook: Gesture-Based Communication in Human-Computer Interaction; International Gestur Annelies Braffort,Rachid Gherbi,James Richardson Conference

使絕緣

Bernice L. Neugarten,Susan C. Reed may nevertheless influence the final sound produced by the acoustic instrument. These gestures have not commonly been considered in sound synthesis, although they are an integral part of the instrumentalist’s full gestural language. The structure of this paper will be based on an analysis of these

合唱隊(duì)

Molecular and Biologic Factors in Agingrticular, . are utilized to explain gestures variability in a multimodal human-computer interaction. Such a proposal is consistent with empirical findings obtained in different simulation studies showing how referring gestures are determined by the mutuality of information coming from the target and

最小

syncope

Living reference work 20200th editionof the human hand. GREFIT uses a two-stage approach to solve this problem..This paper is based on earlier presented results of a system to locate the 2-D positions of the fingertips in images. We now describe the second stage, where the 2-D position information is transformed by an artificial neural

領(lǐng)袖氣質(zhì)

Policy Issues in the Care of Older Adultsing made at our laboratory towards endowing a robot with the capability of learning to imitate human hand gestures. In particular, we are interested in grasping movements. The aim is a robot that learns, e.g., to pick up a cup at its handle by imitating a human teacher grasping it like this. Our mai

Ingenuity

https://doi.org/10.1007/978-94-009-4255-4dentifies body features via a two level hierarchy. The lower level makes a series of measurements on the image from line-scan input. The upper level uses a set of heuristics to assign the measurements to body features. A ground truth study is presented, showing the performance of the algorithm for f

aesthetic

overwrought

Cancer Screening in Older Adults,e work shown at the last gesture workshop (see [.]). The system makes use of standard image processing techniques as well as of neural information processing. The performance of our architecture includes the detection of a person as a potential user in an indoor environment, followed by the recognit

刺激

得罪人

Cataracts and Cataract Surgery, control of active cameras.We describe a time-delay variant of the Radial Basis Function (TDRBF) network and evaluate its performance on recognising simple pointing and waving hand gestures in image sequences. Experimental results are presented that show that high levels of performance can be obtain