The use of open and machine vision technologies for development of gesture recognition intelligent systems

Cherkasov, Kirill V; Gavrilova, I. V.; Чернова, Е. В.; Dokolin, Andrey S

doi:10.1088/1742-6596/1015/3/032166

Cited by 5 publications

(1 citation statement)

References 1 publication

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“…If both base stations go out of sight or overlap, the signal from the sensors may be lost, which leads to incorrect data; the size and weight of trackers limit the possible number of sensors attached to a person. • Application of computer vision technologies based on a single camera, stereo cameras or a system of several synchronized cameras to obtain corrected and more accurate data on a person's position in three-dimensional space by recognizing key points of a person, including fingers and a face [7,8,9]. When using this tool, there are problems with recognizing key fragments of the silhouette of a person in fast movement and low light.…”

Section: Algorithm For the Formation Of A Movement Process Digital Sh...mentioning

confidence: 99%

Human motion capture algorithm for creating digital shadows of the movement process

Obukhov

Volkov

Vekhteva

et al. 2022

J. Phys.: Conf. Ser.

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The improvement of virtual reality systems declares new requirements for the user immersion quality. To improve the immersiveness of the interaction process with virtual space, it is necessary to provide a realistic representation of a person in it, as well as the processes of his movement and interaction with virtual objects. In this work, the issue of using motion capture technologies to create a realistic avatar (digital shadow) and visualization of the movement process is considered. An algorithm for capturing human movements based on synchronization of various hardware solutions has been developed to create a digital shadow of the human movement process. The algorithm can be used to match the user with his virtual copy in virtual reality systems. The scientific novelty of the method lies in taking into account the position, direction and speed of a person’s movement, synchronization of the motion capture hardware tools used to create digital shadows of the person’s movement process.

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Section: Algorithm For the Formation Of A Movement Process Digital Sh...mentioning

confidence: 99%

Human motion capture algorithm for creating digital shadows of the movement process

Obukhov

Volkov

Vekhteva

et al. 2022

J. Phys.: Conf. Ser.

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Comparative analysis of libraries for computer vision OpenCV and AForge.NET for use in gesture recognition system

Kiselev

2020

J. Phys.: Conf. Ser.

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The article presents the results of the experiment, which based on a comparative analysis of two libraries for solving problems in the field of computer vision in intelligent gesture recognition system: OpenCV and AForge.NET. For the test was developed by intelligent gesture recognition system at both libraries and a block diagram of the gesture recognition system has been developed. A recognition algorithm based on neural network technologies has been developed, suitable sample descriptors and classifier structure have been selected to achieve the best results.The effectiveness of the gesture recognition test software was also evaluated. Below is a brief description of both libraries, a more detailed description of the research and test results.

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Design of Intelligent Development Platform for broadcasting talents from the perspective of Internet Multimedia Data Dynamic Transmission

Zhong

Lin

2022

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)

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The use of open and machine vision technologies for development of gesture recognition intelligent systems

Cited by 5 publications

References 1 publication

Human motion capture algorithm for creating digital shadows of the movement process

Human motion capture algorithm for creating digital shadows of the movement process

Comparative analysis of libraries for computer vision OpenCV and AForge.NET for use in gesture recognition system

Design of Intelligent Development Platform for broadcasting talents from the perspective of Internet Multimedia Data Dynamic Transmission

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