PROJECT EVE // TECHNICAL ABSTRACT

Objective: To establish a sub-millimeter biomechanical foundation for digital humans by integrating high-resolution volumetric data with a differentiable neural solver.

1. The Logical Gap: Biomechanical Under-Determination

While advancements in multi-spectral reflectance capture have established a gold standard for digital human appearance, the industry currently faces biomechanical under-determination. Surface-level captures lack the underlying kinematic constraints required for authentic non-rigid deformation, leading to heuristic-based interpolation that fails at high-fidelity thresholds.

Project Eve addresses this by shifting the focus from appearance-only assets to a volumetric ground truth—mapping the internal mechanical connectome that drives observable surface movement.

2. Technical Architecture

The foundation of Project Eve is the synchronization of high-density physiological and anatomical data to inform a unified digital twin (Subject: Melinda Ozel):

• Sub-millimeter Isotropic Volumetric Reconstruction: Targeting a capture density capable of validating the deep-tissue biomechanical primitives that drive observable surface morphology.
• Ultra-High-Field MRI (7T+) & HD-EEG Synchronization: Establishing a high-resolution map of internal muscular geometry and neural firing patterns to create a validated "biology-to-digital" bridge.
• DVR-NeMF Solver Architecture: Utilizing a Differentiable Volumetric Rendering - Neural Motion Field solver to simulate non-rigid deformation constrained by deep-tissue physics rather than heuristic artistic sculpts.

3. Strategic Research Targets (Speculative Payloads)

Establishing this L0 base layer enables several industry-shifting use cases:

• Propagating Bio-Electrical Intent: Direct injection of BCI/EMG signals through a physics-aware neural solver to achieve real-time, low-latency animation.
• Topological Foundation Transfer: Utilizing sub-millimeter ground truth as a Universal Rig Prior to facilitate rapid, zero-scan deployment of biomechanically-correct assets to new subjects.
• Foundation Model Supervision: Supplying a multi-modal reference corpus to supervise the optimization of next-generation, physics-informed neural solvers.
• Biological Authentication Manifold: Establishing a biomechanically-validated framework for high-fidelity identity verification in a generative-parity landscape.

4. Research Trajectory & Peer Review

Project Eve is currently in an active Stealth Phase, moving toward the initial high-density volumetric capture session. We are seeking technical peer review and strategic collaboration to ensure the resulting data serves as a permanent reference node for the digital human industry.