A Geometrodynamic Haptic Orthosis for State-Space Navigation and Motor Learning
Year: 2025
Type: article
Abstract: An invention is disclosed which provides a system and method for enhancing human motor learning and performance. The system comprises a sensor module for capturing high-dimensional state data from a user, a processing unit for mapping this data onto a dynamic, non-Euclidean geometric manifold, and a haptic actuator module for providing proactive, geodesic-based guidance. The invention's novelty lies in its fundamental departure from conventional reactive feedback systems. Instead, it employs a first-principles geometrodynamic model of reality to actively guide a user along a mathematically optimal trajectory within a unified, 11-dimensional state-space. This transforms the device from a simple feedback mechanism into a "learnohaptic orthosis," a system that actively participates in and shapes the learning process by making the most efficient path of action the path of least physical resistance. The system is preferably embodied as a hardware accessory for a mobile computing device, leveraging its processing capabilities to execute the complex computational model.
Author: Yıldırım, Emirhan
Institution: Istanbul Medipol University
Language: English
Topic: Motor Control and Adaptation
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7088620588
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