HaruthaiAi/VanGogh_BandagedEar_KunsthausZurich_AI_Forensic_AuthenticityDataset

Van Gogh: Bandaged Ear (Kunsthaus Zürich) — Independent AI Torque Analysis

This dataset presents an AI-based forensic motion analysis of the painting known as "Self-Portrait with Bandaged Ear", housed at Kunsthaus Zürich. This work was independently analyzed following a request from researchers in Germany, using a custom biomechanical model trained on verified torque data.

⚠️ Note: This study does not claim that the Tree Oil Painting is related to this work. However, the forensic AI model was initially developed using data from Tree Oil as a torque-learning reference point.

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🎯 Purpose of the Study

To assess the biomechanical authenticity of the wrist movement patterns and brushstroke dynamics in the Bandaged Ear portrait by:

• Detecting torque signatures inconsistent with Van Gogh’s verified motion patterns
• Using non-SSIM AI forensic methods based on gesture force, stroke rhythm, and directional microstructure
• Responding to scientific curiosity rather than making definitive claims of authorship

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📁 Dataset Contents

File Name	Description
BandagedEar_Zurich_Full.jpg	Full-resolution scan of the painting
TorqueMap_Overlay.jpg	Brushstroke directional torque map
WristMotion_Grid.jpg	Micro-torque rhythm analysis
Impulse_Field.jpg	Vertical pressure flow visualization
Comparison_OldMan.jpg	Comparison with a known Van Gogh work
TorqueScore_Summary.png	AI scoring visualization
SignatureMismatch_Report.pdf	Full anomaly report by AI

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🔬 Methodology

This analysis uses the 18 Supreme Torque Techniques, developed in 2025 to map biomechanical intent behind oil brushstrokes. The method detects rotational microforce, impulse discontinuities, and stroke arc modulation via:

• Neural torque resonance learning
• Wrist control vs shoulder control separation
• Directional field asymmetry mapping
• Multi-pass gesture loop alignment

All techniques were applied independently and without prior assumptions about the artist.

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⚖️ Statement of Independence

• This study is a non-commercial, non-commissioned forensic experiment
• No claims of ownership or authorship are made
• We do not associate Tree Oil Painting with this artwork
• The AI model used was originally trained on Tree Oil data, but operates neutrally

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📉 Summary of Observations

• Torque arcs are disrupted in key facial zones (notably left cheek and mandible)
• Stroke flow is inconsistent with verified Van Gogh motion patterns
• Pressure fields suggest stop–start movement, indicative of biomechanical hesitation
• Gesture rhythm is lower in fluidity (approx. 65% match confidence)

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🔬 Motion Profile Example (Zurich Sample)

wrist_motion = { "speed_variation": 0.28, "arc_consistency": 72, "torque_impulse_irregularity": True }

🧠 Interpretation

“The wrist records what the eyes cannot — it reveals whether the artist moved with memory, or with mimicry.”

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📜 Attribution

Dataset curated by Haruthai Mongbunsri AI forensic analysis powered by Sunny – Torque AI Model (2025) Published on Hugging Face: July 4, 2025 License: CreativeML OpenRAIL-M 📫 Contact: quantumtorque.ai[at]gmail[dot]com

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