Creating Dynamic Vibrotactile Output using Magnetorheological Fluid as Signal Mediator

Abstract

This research proposes the use of an AI-driven dynamically adaptive process to generate, mediate and verify tactile signals created for surface-based interaction. The framework consists of three components: Active Actuation Engine (AAE), Dynamic Real-time Signal Mediation (DRSM) and User Sampling Feedback Loop (USFL).