GMU:Speculative Atmospheres II/Sophia Amelia Eickhoff: Difference between revisions

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For my project I want to collect the invisible elements (data) that shape the natural atmosphere on my walks and visualize them artistically.  
For my project I want to collect the invisible elements (data) that shape the natural atmosphere on my walks and visualize them artistically.  


On the route, light, air quality, temperature, pulse and humidity are measured every minute using an Arduino and sensors. These are stored via an SD card and read out with a code. The time and route are stored using a tracking app.[[File:ROUTE..png]]
On the route, light, air quality, temperature, pulse and humidity are measured every minute using an Arduino and sensors. These are stored via an SD card and read out with a code. The time and route are stored using a tracking app.
  The data determines the parameters of the subsequent image design.  
  The data determines the parameters of the subsequent image design.  
For transport, a "rack" is built that attaches the breadboard to the body.
For transport, a "rack" is built that attaches the breadboard to the body.
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*Time/Duration= Size of the canvas
*Time/Duration= Size of the canvas
*Route= Shape of the line
*Route= Shape of the line
[[File:SKIZZE.tif]]


*Temperature= Color
*Temperature= Color
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*(Background= Photograph of the Walk)
*(Background= Photograph of the Walk)
[[File:SKIZZE 2]]
 





Revision as of 13:45, 14 December 2021

Idea

Mapping of the Invisible Enviorment

For my project I want to collect the invisible elements (data) that shape the natural atmosphere on my walks and visualize them artistically.

On the route, light, air quality, temperature, pulse and humidity are measured every minute using an Arduino and sensors. These are stored via an SD card and read out with a code. The time and route are stored using a tracking app.

The data determines the parameters of the subsequent image design. 

For transport, a "rack" is built that attaches the breadboard to the body.

  • Time/Duration= Size of the canvas
  • Route= Shape of the line
  • Temperature= Color
  • Light= Saturation of the color
  • Air quality= contour of the line
  • Pulse= Height of the line
  • Humidity=
  • (distance= space around the line)


  • (Background= Photograph of the Walk)



Additional

The place and the area of the walked route are indicated. Depending on what dominates the walk, a text (internal state) or a photo (external state) is attached. Also, an attempt is made to put this state in context with the collected data.


Keywords

  • Determination-Indetermination
  • History of Mapping
  • Strollology
  • Correlation of Data
  • Context/ Asssociation of Color