We have created ChristmasViewfinder, an diorama with actualized, moving pieces comparing Christmas as it relates to today’s modern, capitalism-fueled society against its religious origins.

We juxtaposed modern Christmas commercials with the religious figures of the well-known nativity scene. Additionally, different parts of the display change every time the viewer pulls the viewfinder lever. This allows us to tell a multitude of narratives about Christmas’ varying religious and capitalist meanings.

In order to implement this diorama, we used an Arduino Leonardo as the main brain to control all the different actuation. We used two relays to control high voltage lines going to Christmas lights and an incandescent bulb (that lights up old projector slides). We used the Arduino’s PWM pins going to MOSFETS to control the LED strips in the ceiling of the diorama. We also used Adafruit’s 12-bit PWM driver to control additional servos and individual LED’s.

The Arduino Leonardo was also used as a USB keyboard to control a Processing sketch on the computer.

Link to YouTube video detailing how to create a video player in processing: https://youtu.be/ayZIxo3TeXM

Link to Processing documentation of video player (Movie): https://processing.org/reference/libraries/video/Movie.html

Link to Github code: https://github.com/arathorn593/Christmas_Viewfinder

(code for this project can be found here)

We designed a fabric sensor intended for the user to take one-word notes and send said notes as reminders to themselves.

Our primary purpose in creating this sensor was to write reminders on a device without the rigidity found in most devices offering the same service.

What our project actually ended up being was an exploration in soft wearables and sensing.
We discovered that the reason soft wearables are not the first choice of many is because the margin for error is so much smaller when dealing with dynamic material.

We also discovered several key aspects of creating soft touch pads. Most importantly is the overall construction. To sense position, we used three layers of material:

• conductive fabric (grounded)
• a spacing mesh
• a piece of velostat (with 4 connections to measure resistance)

By pressing on the fabric, a connection is made between the conductive fabric and a point on the velostat. The resistance from each measurement point to the point of contact is then measured with an ADC.

We experimented with several conductive fabrics, spacing meshes, and connection orientations. Our process can be found in our previous documentation (linked above).

Also, the xy data from the sensor needs to be linearized. The linearization method depends on the orientation of the connections, but for our final prototype we linearized using the catenery curve (http://forum.arduino.cc/index.php?topic=184285.0).

plan for information flow with the sensor

hypothetical layout of the sensor

rudimentary visual prototype

visual prototype in use

visual prototype in use

visual prototype in use

sewing conductive fabric to make the buttons

sewing wires attached to conductive fabric buttons

sewing the arm straps on and defining the sensing area

inner velostat hand-sewn (because we were afraid that the sewing machine would rip through the velostat given its thickness), wires at four corners with copper tape on ends, 

light blue bean, with wires soldered to it to connect it to the ADS 1015 Breakout to give us four analog breakout pins instead of two, which are how many are available on the light blue bean

testing the sensor with visual output in Processing

circuit diagram of our ADS 1015 Breakout to light blue bean

YouTube / Rachel N – via Iframely

getting the light blue bean’s accelerometer data

YouTube / Rachel N – via Iframely

testing in progress

Final project:

in off mode; no LED on

on, as indicated by red LED. ready to write.

simple controls to decide when we start, end, and give ourselves reminders

light blue bean circuitry and wires hidden under fabric flap!

YouTube / Rachel N – via Iframely

We wanted to create a soft, fabric sensor that one could interact with to create reminders for later if one doesn’t have paper, pens, notebooks, or ways to record reminders immediately available.

View post on imgur.com

View post on imgur.com

The idea of creating something more wearable and natural than a smartwatch is what first appealed to us. We did a lot of experimentation with various materials, various mesh spacing fabrics, arrangements of connectors, and in particular, our calibration algorithms.

View post on imgur.com

View post on imgur.com

View post on imgur.com

View post on imgur.com

View post on imgur.com

View post on imgur.com

View post on imgur.com

YouTube / Rachel N – via Iframely

We also played around with Light Blue Bean and got it to talk to a Macbook, but getting an Android phone to control it is another problem entirely.

For further, more detailed documentation of our working process for the past few weeks can be found here:

Google Docs – via Iframely

So our group posed the question, what if we forced two people to work together by communicating through outputs appealing to two different senses?

Collabright bridges two users by allowing one to control sound output in the form of the classic “Happy Birthday” and the other to control visual output in the form of a strip of LED lights. The user whose output is sound controls the song by running a piece of wire down a length of rubber tubing at varying speeds and positions while the user who changes the LEDs controls the lights by running a piece of wire around a color wheel, also composed of rubber tubing.

The idea is that the users can create an experience together that is more powerful than when either one works alone.