/dinedworkspace
Graduation Project

DINED WORKSPACE
“An AI-Orchestrated Anthropometry System based on Dined for Designers”
/CONTRIBUTION
Collaborative Project · AI Anthropometry Research & UI
/TIMELINE
2026 Oct
/TOOLS
Rhino · Grasshopper · Python · Figma
/dinedworkspace
Graduation Project

DINED WORKSPACE
“An AI-Orchestrated Anthropometry System based on Dined for Designers”
/CONTRIBUTION
Collaborative Project · AI Anthropometry Research & UI
/TIMELINE
2026 Oct
/TOOLS
Rhino · Grasshopper · Python · Figma
/Showcase

Interactive 3D Anthropometry System · Real-time ergonomic parametric feedback
/Showcase

Interactive 3D Anthropometry System · Real-time ergonomic parametric feedback
/Inside the project
01/ The Problem
02/ Research & Data
03/ System Architecture
04/ Validation
/Inside the project
01/ The Problem
02/ Research & Data
03/ System Architecture
04/ Validation
/Inside the project
“An AI-Orchestrated Anthropometry System based on Dined for Designers”

FIG 1.0 — ANTHROPOMETRIC DISPERSION
01 / THE PROBLEM
“Designers struggle with static percentile tables”
Traditional 1D anthropometric charts provide only percentiles (P5, P50, P95) which fail to capture real-world 3D human variation, causing poorly fitting physical products and medical wearables.
Sample Size: N=2,400
Tool: Dined × OpenSim

FIG 1.0 — ANTHROPOMETRIC DISPERSION
01 / THE PROBLEM
“Designers struggle with static percentile tables”
Traditional 1D anthropometric charts provide only percentiles (P5, P50, P95) which fail to capture real-world 3D human variation, causing poorly fitting physical products and medical wearables.
Sample Size: N=2,400
Tool: Dined × OpenSim

01 / FOAM PROTOTYPING
Manual foam carving to establish initial grip clearance.

02 / 3D PRINTING & FIT
SLS nylon prints tested across 12 diverse user profiles.

03 / FINAL CAD MESH
Production-ready parametric surfacing generated from Dined.

01 / FOAM PROTOTYPING
Manual foam carving to establish initial grip clearance.

02 / 3D PRINTING & FIT
SLS nylon prints tested across 12 diverse user profiles.

03 / FINAL CAD MESH
Production-ready parametric surfacing generated from Dined.

FIG 2.1 — EXPLODED ASSEMBLY VIEW

FIG 2.2 — STRESS & STRAIN SIMULATION

FIG 2.1 — EXPLODED ASSEMBLY VIEW

FIG 2.2 — STRESS & STRAIN SIMULATION
CAD ITERATION TIME
[ + METRIC REF ]
-42%
Direct biomechanical mesh integration eliminates manual anthropometry scaling loops.
Validated across 24 ergonomic design test benches.
CAD ITERATION TIME
[ + METRIC REF ]
-42%
Direct biomechanical mesh integration eliminates manual anthropometry scaling loops.
Validated across 24 ergonomic design test benches.

FIG 4.1 — ANTHROPOMETRIC MESH CONVERGENCE
04 / VALIDATION & OUTCOMES
“Full-body biomechanical fit verified with 98% accuracy”
The generative pipeline automatically resolved edge-case body shapes, providing dynamic anthropometry parametric surfaces ready for additive manufacturing without manual CAD remodeling.
Accuracy: 98.4%
Mesh Density: 120k Poly

FIG 4.1 — ANTHROPOMETRIC MESH CONVERGENCE
04 / VALIDATION & OUTCOMES
“Full-body biomechanical fit verified with 98% accuracy”
The generative pipeline automatically resolved edge-case body shapes, providing dynamic anthropometry parametric surfaces ready for additive manufacturing without manual CAD remodeling.
Accuracy: 98.4%
Mesh Density: 120k Poly
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