This is an ongoing interdisciplinary research project that critically explores the new patterns of social interaction and civic engagement generated by the rise of passive wearable sensing technologies.  In particular, we explore the ways that the physical forms affect public perception of sensing technology, the ways that sensors worn by multiple agents can be aggregated, and the ways that artificial intelligence and computational photography can be combined to analyze our sensor data.  Our first set of portable working prototypes consists of four varied scarf designs, each containing eight embedded cameras capable of simultaneous image capture.  Our research team is currently developing computational techniques to aggregate and analyze the sensor data to create 4-dimensional video representations of public spaces. 

This project was created in an assistantship to professor Christopher Baker, for networked wearable technology funded by the Motorola “Closer Than Your Skin” Grant.  My 3D printed research direction was designed with the Grasshopper plug-in for Rhino and Autodesk Fusion, and is printed with thermochromic filament to indicate when the garment is recording.