University: University of the West of England
As part of my PhD research at UWE Bristol, I designed an Arduino-based circuit to collect hourly motion data around the entrance of the JISC building. This data was used to inform the design of a kinetic canopy that responded dynamically to both real-time human interaction and scheduled movement patterns derived from microwave sensor data. To facilitate the integration of hardware and design, I developed a custom 3D-printed housing for the Arduino and sensors, ensuring durability and precision in data collection.
Beyond hardware implementation, I crafted a specialized visualization algorithm to computationally represent pedestrian movement near the entrance. This algorithm seamlessly integrated motion data into the parametric model governing the kinetic canopy’s behavior, allowing it to adapt responsively to environmental stimuli. The project demonstrated how computational design, sensor-based data collection, and responsive architecture can create intelligent, human-centric spaces.
