Sensory Engagement of Urban Intersections

With the collection of sound, motion, green space, and social hub data this project was able to uncover the most popular and desired ares of the city.

After inputting all the coordinates it becomes clear where the intersections of green spaces and social hubs are, making these areas the most desirable.

The handmade Arduino Motion sensor tracked movement in the area, indicating wether a space if highly trafficked or not.

Using a handheld audio recorder, sounds of the space were captured and measured by length allowing noise frequency to be identified.

After analyzing the collected data, a physical representation of the 5 most popular intersection within the city were physicalized. Each represented by a 3D printed model depicting that space's sound and motion.

Each model representing the physical sound and motion of the most popular urban green space x social hub intersections