The Method of Forming a Digital Shadow of the Human Movement Process Based on the Combination of Motion Capture Systems

Author:

Obukhov Artem,Volkov Andrey,Vekhteva Nadezhda,Patutin Kirill,Nazarova Alexandra,Dedov Denis

Abstract

The article deals with the problem of forming a digital shadow of the process of moving a person. An analysis of the subject area was carried out, which showed the need to formalize the process of creating digital shadows to simulate human movements in virtual space, testing software and hardware systems that operate on the basis of human actions, as well as in various systems of musculoskeletal rehabilitation. It was revealed that among the existing approaches to the capture of human movements, it is impossible to single out a universal and stable method under various environmental conditions. A method for forming a digital shadow has been developed based on combining and synchronizing data from three motion capture systems (virtual reality trackers, a motion capture suit, and cameras using computer vision technologies). Combining the above systems makes it possible to obtain a comprehensive assessment of the position and condition of a person regardless of environmental conditions (electromagnetic interference, illumination). To implement the proposed method, a formalization of the digital shadow of the human movement process was carried out, including a description of the mechanisms for collecting and processing data from various motion capture systems, as well as the stages of combining, filtering, and synchronizing data. The scientific novelty of the method lies in the formalization of the process of collecting data on the movement of a person, combining and synchronizing the hardware of the motion capture systems to create digital shadows of the process of moving a person. The obtained theoretical results will be used as a basis for software abstraction of a digital shadow in information systems to solve the problems of testing, simulating a person, and modeling his reaction to external stimuli by generalizing the collected data arrays about his movement.

Publisher

SPIIRAS

Subject

Artificial Intelligence,Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Computer Networks and Communications,Information Systems

Reference27 articles.

1. Grieves M. Origins of the Digital Twin Concept. 2016. URL: https://www.researchgate.net/publication/307509727_ (дата обращения: 03.11.2022).

2. Царев М.В., Андреев Ю.С. Цифровые двойники в промышленности: история развития, классификация, технологии, сценарии использования // Известия высших учебных заведений. Приборостроение. 2021. Т. 64. №. 7. С. 517-531.

3. Kritzinger W. et al. Digital Twin in manufacturing: A categorical literature review and classification // IFAC-PapersOnLine. 2018. vol. 51. no. 11. pp. 1016-1022.

4. Krüger J. et al. Innovative control of assembly systems and lines // CIRP annals. 2017. vol. 66. no. 2. pp. 707-730.

5. Botín-Sanabria D.M. et al. Digital twin technology challenges and applications: A comprehensive review // Remote Sensing. 2022. vol. 14. no. 6. p. 1335.

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1. 3D Human Motion Capture Method Based on Computer Vision;Advanced Engineering Research (Rostov-on-Don);2023-09-29

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