Content area
This research presents a novel algorithmic implementation to improve the analysis of visually controlled interception and accompanying motor action through the computational application of harmonic ratios and stimulation invariants. Unlike traditional models that focus mainly on psychological aspects, our approach integrates the relevant constructs into a practical mathematical framework. This allows for dynamic prediction of interception points with improved accuracy and real-time perception–action capabilities, essential for applications in neurorehabilitation and virtual reality. Our methodology uses stimulation invariants as key parameters within a mathematical model to quantitatively predict and improve interception outcomes. The results demonstrate the superior performance of our algorithms over conventional methods, confirming their potential for advancing robotic vision systems and adaptive virtual environments. By translating complex theories of visual perception into algorithmic solutions, this study provides innovative ways to improve motion perception and interactive systems. This study aims to articulate the complex interplay of geometry, perception, and technology in understanding and utilizing cross ratios at infinity, emphasizing their practical applications in virtual and augmented reality settings.
Details
Velocity;
Augmented reality;
Adaptive systems;
Invariants;
Machine vision;
Mathematical analysis;
Motion perception;
Virtual reality;
Visual perception;
Ratios;
Psychological factors;
Algorithms;
Real time;
Vision systems;
Optics;
Visual perception driven algorithms;
Visual control;
Virtual environments;
Interactive systems;
Adaptive algorithms
; Araujo, Duarte 2 ; Choi, MooYoung 3
; Vette, Albert 4
; Ortiz, Eunice 1
1 Ingenieria Mecanica, Universidad de Ingenieria y Tecnologia—UTEC, Lima 15063, Peru;
2 CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1649-004 Lisboa, Portugal;
3 Department of Physics and Astronomy and Center for Theoretical Physics, Seoul National University, Seoul 08826, Republic of Korea;
4 Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada;