Cybernetic suit for interaction with virtual reality

V. Ruvinskaya, A. Troynina, Dmytro V. Zybin
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Abstract

The study in the field of the structure of the processing architecture of a cybernetic suit for working with virtual reality was conducted. Nowadays it is relevant to use such a systems to implement various scenarios of rehabilitationfor people, as well as to conduct possible training sessions for operators of mechanized devices and so on. The goal is to achieve the highest possibleaccura-cy in repetition of the operator's movements, i.e. motion capture, at the lowest financial cost. The initial variant ofthe suit was creat-ed on the basis of Arduino and Unity 3D for visualization. 3D human model based on quaternion is built in Unity 3D which repeats all the real person twists and turns. But the first architecture had problems with performance and accuracy.A series of experiments was carried out to improve the effectiveness of the cybernetic suit prototypes. Thanks to the introduction of the proposed new type of architecture, namely the “controller-sensor”, it ispossible to completely get rid of the inaccuracy of the received data from the sen-sors. Also it allows removing the unauthorized change in the position of the body parts of the 3D model and increasingthe overall resistance and noise immunity of the product. Softwarebased on the algorithm for processing data from gyroscope and accelerometer sensors is presented, and the possibility of upgrading the design of the hardware part of the suit, aimed at optimizing the output char-acteristics, is described. To achieve the goal the most stable and noise-resistant transmission of primary data from cybernetic suit to a 3D model with the minimum possible number of errors in the data transmission buses was obtained. As a result, the modernization of the cybernetic suit for interaction with virtual reality has increased the accuracy of data from 66 % to 94.5 % and reduced the amount of interference from 40.59 % to 5.5 %.
与虚拟现实交互的控制论套装
对虚拟现实控制服的处理体系结构进行了研究。如今,使用这样的系统来实现人们的各种康复场景,以及对机械化设备操作员等进行可能的培训课程是相关的。目标是以最低的财务成本实现操作员动作重复的最高精度,即动作捕捉。这套套装的最初版本是在Arduino和Unity 3D的基础上创建的,用于可视化。基于四元数的三维人体模型是在Unity 3D中建立的,它重复了所有真实人物的曲折。但第一种架构在性能和准确性方面存在问题。为了提高机器人控制服原型的有效性,进行了一系列的实验。由于引入了所提出的新型架构,即“控制器-传感器”,因此有可能完全摆脱从传感器接收数据的不准确性。此外,它还允许消除未经授权的3D模型身体部位的位置变化,并增加产品的整体阻力和抗噪声能力。提出了基于该算法的软件,用于处理陀螺仪和加速度传感器的数据,并描述了硬件部分升级设计的可能性,旨在优化输出特性。为了实现这一目标,在数据传输总线误差最小的情况下,实现了从控制服到三维模型的最稳定、最抗噪声传输。因此,用于与虚拟现实交互的控制论套装的现代化使数据的准确性从66%提高到94.5%,并将干扰量从40.59%减少到5.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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