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Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision , [ citation needed ] it employs mathematical algorithms to interpret gestures.
7805 gesture captures of 14 different social touch gestures performed by 31 subjects. The gestures were performed in three variations: gentle, normal and rough, on a pressure sensor grid wrapped around a mannequin arm. Touch gestures performed are segmented and labeled. 7805 gesture captures CSV Classification 2016 [194] [195] M. Jung et al.
The model was first introduced by Edwards, Cootes and Taylor in the context of face analysis at the 3rd International Conference on Face and Gesture Recognition, 1998. [1] Cootes, Edwards and Taylor further described the approach as a general method in computer vision at the European Conference on Computer Vision in the same year.
Finger tracking of two pianists' fingers playing the same piece (slow motion, no sound) [1]. In the field of gesture recognition and image processing, finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D.
Modern devices are being experimented with, that may potentially allow that computer related device to respond to and understand an individual's hand gesture, specific movement or facial expression. In relation to computers and body language, research is being done with the use of mathematics in order to teach computers to interpret human ...
Project Digits is a Microsoft Research Project under Microsoft's computer science laboratory at the University of Cambridge; researchers from Newcastle University and University of Crete are also involved in this project. [1]
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
Leap Motion, Inc. (formerly OcuSpec Inc.) [1] [2] was an American company, active from 2010 to 2019, that manufactured and marketed a computer hardware sensor device. The device supports hand and finger motions as input, analogous to a mouse, but requires no hand contact or touching.