Luise Krumbein: Difference between revisions

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== '''FINAL PROJECT''': pulse — distorting live images ==
== Motion ==


(video)


'''20.05.2021''' A normal pulse is regular in rhythm and strength. Sometimes it's higher, sometimes lower, depending on the situation and health condition.You rarely see it and feel it from time to time. Apart from the visualisation of an EKG, what could it look like? How can this vital rhythm be visualised?


[[File:Pulse Interaction.jpg|400px]]
[[File:Keep Moving.jpg|800px]]


I would like to use an Arduino pulse sensor to create an interactive installation. The setup contains the pulse sensor and a screen. The user can easily connect to the Max by clipping the Arduino sensor to its finger. The webcam is connected and the screen shows a pulsating and distorted image of the participant. The pulse sensor visually stretches the webcam image, moves in rhythm of the pulse and creates a new result.


A more complex version would be the interaction of two pulses. Two Arduino pulse sensors are connected to MAX and one distorted webcam image is showing the combination of the pulses from two people. This idea could be further developed during the semester.
Video manipulating in real-time, 3min


How does it work: Arduino pulse sensor that measures the pulse with the fingers. Usually, this is used to measure the radial pulse. In MAX, a patch must be created in which the data from Arduino is converted into parameters which distorts the image.
Things that move trigger our attention and curiosity. We immediately perceive them as living matter. Something that does not move from time to time is quickly perceived as dead. How is our environment shaped? Is it alive, livable, boring? Are cars living organisms?


some links:  
Video recordings of public places are made at various locations in Weimar using a laptop and its webcam. The video is embedded in Max/MSP, which manipulated the recordings in real-time. The setup filters out everything that doesn't move. Things that do move become visible. The top right calculates the difference between the frames of the video. Therefore it filters the non-moving objects and highlights changes in the video feed. The bottom left takes snapshots, triggered by loud noises. A resulting video is displayed at the bottom right, a sequence of images created from the individual snapshots captured by sound.
* webcam interaction [https://www.youtube.com/watch?v=j0mMU5Pu5EE&list=PLvpdUWhGx43-OttXG4lp11-UohI3wPeqV&index=4 ]
 
* distorting images [https://www.youtube.com/watch?v=Rgcvnm-lcF8&list=PLvpdUWhGx43-OttXG4lp11-UohI3wPeqV&index=10&t=101s]
{{#ev:vimeo|572240468}}
 
<gallery>
File:Theater.png
File:Ilmpark.png
File:Koriat.png
File:Wieland.png
</gallery>
 
 
 
 
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'''Technical Solution'''
 
Please find here the patch  [[:File:210616_Keep Moving.maxpat]]
 
[[File:Screenshot 2021-06-17 at 00.05.59.png|800px]]
 
The lower display window shows the entire webcam video. The upper window shows the current snapshot until the next one is taken. For motion tracking, ''jit.rgb2luma'' is often used to identify an moving object. This command caught my attention. By ''jit.unpack'' and ''jit.pack'' the color get changed in and bright yellow for the background and bright red for the moving object. The trigger of the microphone is set very low to take a snapshot. Even a big bite into an apple can set it off.


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== Process ==
'''Documentation'''
[[/Trials/]]
 
[[/Process/]]


[[/Research/]]
[[/References/]]


[[/Homework/]]
[[/Tutorials/]]

Latest revision as of 20:24, 13 July 2021

Motion

Keep Moving.jpg


Video manipulating in real-time, 3min

Things that move trigger our attention and curiosity. We immediately perceive them as living matter. Something that does not move from time to time is quickly perceived as dead. How is our environment shaped? Is it alive, livable, boring? Are cars living organisms?

Video recordings of public places are made at various locations in Weimar using a laptop and its webcam. The video is embedded in Max/MSP, which manipulated the recordings in real-time. The setup filters out everything that doesn't move. Things that do move become visible. The top right calculates the difference between the frames of the video. Therefore it filters the non-moving objects and highlights changes in the video feed. The bottom left takes snapshots, triggered by loud noises. A resulting video is displayed at the bottom right, a sequence of images created from the individual snapshots captured by sound.




Technical Solution

Please find here the patch File:210616_Keep Moving.maxpat

Screenshot 2021-06-17 at 00.05.59.png

The lower display window shows the entire webcam video. The upper window shows the current snapshot until the next one is taken. For motion tracking, jit.rgb2luma is often used to identify an moving object. This command caught my attention. By jit.unpack and jit.pack the color get changed in and bright yellow for the background and bright red for the moving object. The trigger of the microphone is set very low to take a snapshot. Even a big bite into an apple can set it off.


Documentation

Process

References

Tutorials