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Accurate Object Location Upgrading in Computer Network Based Virtual Reality Using Clustering Techniques

Abstract:
Most of the functions imbedded on virtual reality systems are highly dependent on positioning algorithm. system need to be designed in such way that accurate positioning can be ensured while object movements. Indoor positioning system is imposing great challenge since it cannot be linked to GPS system. Hence, location optimization and positioning process at indoor systems need to be performed using own (internal) positioning algorithms that depends on local sensors integrated with the mobile object itself. The results shown that total consumption time (which was used as performance metric to judge the used algorithms) is maximum with Spearman method which was equal to 0.0661 seconds whereas it is far less when Correlation method is used (equal to 0.0234 second).

Keywords:
Robotics, KNN, Correlation, Positioning, GPS, Time Delay.
Author (s): Hala Husham Nussrat ;Taymoor Husham Nussrat
Affilation: Al-mustansiriyah University, College of Engineering, Baghdad, Iraq
Cite this article
Hala Husham Nussrat ,Taymoor Husham Nussrat ,"Accurate Object Location Upgrading in Computer Network Based Virtual Reality Using Clustering Techniques",Journal of Positive Sciences, Issue:5, Volume(2), (2022) Page(1-4), ISSN:2582-9351.