Motion as Language: Semantic Meaning from Movement

This document explores how continuous human movement maps to discrete semantic meaning through the Comp-Core motion intelligence pipeline. At its heart: the **2.16ms latent motion window**—a quantum of embodied computation that bridges the gap between raw sensor data and meaningful intent. 1. [The 2.16ms Latent Window](#the-216ms-latent-window) 2. [Gesture Vocabulary Taxonomy](#gesture-vocabulary-taxonomy) 3. [Motion → Intent Translation Pipeline](#motion--intent-translation-pipeline) 4. [Connection to cc-inscription Sigils](#connection-to-cc-inscription-sigils) 5. [Theoretical Foundations](#theoretical-foundations) 6. [Implementation Architecture](#implementation-architecture) The Comp-Core system achieves **2.16ms average latency** from sensor input to semantic output. This isn't arbitrary—it's the sweet spot where: 1. **Perceptual continuity**: Below the 10-20ms threshold where humans perceive delay 2. **Information sufficiency**: Enough motion data for meaningful feature extraction 3. **Causal coherence**: Fast enough to feel like "now," slow enough to reason about Motion data flows through a **104-dimensional latent space** (via RPS—Recursive Polymodal Synthesis):