Climate Simulation Analysis

Capturing Sketch by Motion sensors

Examine if the motion capture can retain the characteristics and shape made by hand

Using gestures having different intensities as the sketcg is made

Follow similar recurring pattern

We aimed to capture the movement of drawing an object and translate hand gestures into an abstract installation

Algorithmic extension: Arraying, Repetition and extrusions

Analog: Digital Artifacts

Steps of constructing the rigid body device using MoCap Braced 3 smart markers with a glove and assigned it to the rigid body. This glove was then worn and used to draw on paper. The motion capture data was exported as a CSV File, Imported into Grasshopper where the points were further extruded

Architectural Intelligence

Year: 2020

Team: Tabeer Tariq,

Type: Runway ML, Meshroom, Unity, Grasshopper, Google earth studios

The project explores the generative and creative potiential of AI in the notion of human Machine collaboration. It samples artistic influences from fields such as painting sculpting, fashion and media art and implements them into architecture objecr using ML alogrithms. Here the human curates the process where as machine generates the model and shapes.

The process includes sampling images site and artistic influence using Runway ML, deriving formal data analysis using Meshroom and then modeling it using Rhino and grasshopper.