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A child's hand location and movement being detected by a gesture recognition algorithm. 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 ...
Founded in 1986 by Canadians Vincent John Vincent [2] and Francis MacDougall, [3] this privately held company develops and licenses gesture recognition software based on computer vision techniques. The partners invented video gesture control in 1986 and received their base patent in 1996 for the GestPoint video gesture control system.
Engineers continue to develop prototypes that use innovative sensor technologies and architectures to achieve the goal of gesture recognition. For example, one such project is the Smart Glove, developed in 2009 by the then electronics engineering students Arvind Ramana, Subramanian KS, Suresh and Shiva. This project was an innovative design ...
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.
A computer should be able to recognize these, analyze the context and respond in a meaningful way, in order to be efficiently used for Human–Computer Interaction. There are many proposed methods [38] to detect the body gesture. Some literature differentiates 2 different approaches in gesture recognition: a 3D model based and an appearance ...
The following is a non-complete list of applications which are studied in computer vision. In this category, the term application should be interpreted as a high level function which solves a problem at a higher level of complexity. Typically, the various technical problems related to an application can be solved and implemented in different ways.
Computer vision is an interdisciplinary field related to, e.g., artificial intelligence, machine learning, robotics, signal processing and geometry. The purpose of computer vision is to program a computer to "understand" a scene or features in an image. Computer vision shares many topics and methods with image processing and machine vision ...
Classification, Lifelong object recognition, Robotic Vision 2019 [43] Q. She et al. THz and thermal video data set This multispectral data set includes terahertz, thermal, visual, near infrared, and three-dimensional videos of objects hidden under people's clothes. 3D lookup tables are provided that allow you to project images onto 3D point clouds.