Module 3 Activity Research

Weekly Activity Template

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Project 3


Module 3

For project 3, we created a design that employs simple sensing and projection technology to transform the human flow into a narrative performance “Christmas tree”. Using sensors placed inside and outside the door determine whether people are entering or exiting based on the sequence of triggers.

Workshop 1

During in-class workshop, explored about Role Playing prototyping method to ideate physical computing project ideas. This is the prompt we got. Process of preparing the prototypes. More prototype are being made. Finished prototypes and ready for presentation.

Activity 1

I connected the two sensors to Arduino and tested them to see if they can detect motion when I wave my hand in front of them. I built a simple prototype door to hold the sensors and Arduino. Another angle of the prototype door with sensors and Arduino inside. This shows that the door can only be opened from one side.

Activity 2

This prototype is built for the projection part. I used cardboard to build the structure and covered it with white paper. My groupmmates explored a lot with Gemini and this is one of the visual results. However we thought since it is Christmas themed, we can use more colorful and festive visuals. This is the second version of the visuals we created using Gemini. This is the final version of the visuals we created using Gemini. We thought this one fits the Christmas theme the most, and this is interactive as well.

Additional Research or Workshops

This video demonstration is similar to our project idea, where the sensors detect motion and trigger projections. This research just looks fun so I put it here. These are some inspirations that people created using Gemini 3 that involves hand gesture detection. I was facinated how strong Gemini 3 is in creating visuals based on hand gestures. It's quite sensitive and reactive. Some tutorials I found to help me build the Arduino part of the project.

Project 3


Project 3 Final Prototype

This installation translates the abstract data of occupancy into an interaction between physical space and two-dimensional imagery. We employ vivid animation as our visual language to emphasize that even simple images can convey the state of a real space when clearly linked to on-site physical actions.

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