Sentence examples for recognized gestures from inspiring English sources

For each video, you provide an ordered list of labels R corresponding to the recognized gestures.

where Corr and Acc describe correct rate and accuracy, respectively, and C g, N g, and R g represent the number of correctly recognized gestures, the number of gestures included in the test data, and the number of recognized gestures, respectively.

For example, controlled smiles, averted gaze, head movements down and away, lowered head, downcast eyes, diminished posture, and blushing have been proposed to constitute universally recognized gestures [1], [34], [35], [36], [37], [38].

It can clearly be seen that the testing overall recognition performance of gestures performed by the stroke patients is lower than the ones performed by the healthy subjects, as it was expected, but still they produced a high percentage of true positive recognized gestures (TPR mean of 75%).

To make his argument he draws on the work of Heidegger and Derrida but also very significantly on the work of the paleoanthropologist Andre Leroi-Gourhan in Leroi-Gourhan inidely recognized Gesture and Sparticularginally publishis in French in 1964).

-- Behind Kinect, the computer game device that recognizes gestures and voice commands, lies a far larger agenda for Microsoft.

Meanwhile, Michael Arbib, a computational neuroscientist at the University of Southern California, is working on a variant of the gestural theory based on the discovery of similarities in the way human brains recognize language and monkey brains recognize gestures.

In the coming years, the expectation is that just about every digital camera in consumer devices like PCs and cellphones will be replaced by a 3-D capablecapable of recognizing gestures.

The dashboard controls use technology that recognizes gestures such as touching and dragging a fingertip across the panel; the display and the animations of a virtual trackball control are the work of Chrysler.

In the first part of this paper we describe experiments with techniques for watching the hands and recognizing gestures.

A set-based soft discriminative model is proposed to recognize gestures from these movements.