IFD:Acoustic Interfaces: Difference between revisions

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''Instructor:'' [[Clemens Wegener]]<br/>
''Instructor:'' [[Clemens Wegener]]<br/>
''Credits:'' 6 [[ECTS]], 2 [[SWS]]<br/>
''Credits:'' 6 [[ECTS]], 2 [[SWS]]<br/>
''Capacity:'' max. 12 students<br/>
''Capacity:'' max. 10 students<br/>
''Language:'' English<br/>
''Language:'' English<br/>
''Location:'' Online Stream and Material<br/>
''Location:'' Online Streaming and Material<br/>
''First Meeting:'' '''tba'''
''First Meeting:'' '''tba'''


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==Admission requirements==
==Admission requirements==
===Things you need===
* computer or laptop
* Teensy 4.0 + audio shield
* a pair of headphones or speakers
* a soldering iron would be a plus
We will use either the Teensy 4.0 hardware platform or the Raspberry Pi to classify sounds in the environment. Therefore, a budget of (30-40€) should be planned for the Teensy and other components.  
We will use either the Teensy 4.0 hardware platform or the Raspberry Pi to classify sounds in the environment. Therefore, a budget of (30-40€) should be planned for the Teensy and other components.  
Knowledge of programming is a requirement!
 
===Educational Requirements===
 
Introductory level of programming is a requirement!


==Evaluation==
==Evaluation==
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Qualified MFA Medienkunst/-gestaltung, MFA Media Art and Design, MSc MediaArchitecture candidates <br />
Qualified MFA Medienkunst/-gestaltung, MFA Media Art and Design, MSc MediaArchitecture candidates <br />


==Syllabus (subject to change)==
==Syllabus==
Coming soon...
Coming soon...


==Course Material==
==Course Material==


* [[/introduction to electronics/]]
* [[/introduction to c++/]]
* [[/acoustic sensing circuits/]]
 
For the time of the course, the material will reside in the internal learning platform and will be released here soon.


==Further Reading==
==Further Reading==
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==Pure Data Patches==
==Pure Data Patches==
[[:File:draw_envelope.pd]]
[[:File:draw_envelope.pd]]
==Setting Up the Raspberry Pi==
* You will need an SD card reader for Micro SD cards (eventually and SD card adapter)
* Download [https://etcher.io/ etcher] and [https://blokas.io/patchbox-os/ PatchboxOS]
* Install balenaEtcher and launch
* Select downloaded PatchboxOS image and press flash
* Plug Your SD Card to the Raspberry Pi
* If you don't have a Raspberry Pi 3: Plug Your USB WIFI to the Raspberry
* Start it up!


==Links==
==Links==


*[https://youtu.be/6DDkwdPaYmk Blendie]
*[https://vimeo.com/329853386 Gary Hill, "Wall Piece"]
*[https://vimeo.com/301199365 Hyper Surfaces]
*[https://vimeo.com/301199365 Hyper Surfaces]
*[https://youtu.be/Vj-WVcsr2GQ Mogees Play]
*[https://youtu.be/Vj-WVcsr2GQ Mogees Play]
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*[https://www.youtube.com/watch?v=GEJCmrhrBjc PebbleBox]
*[https://www.youtube.com/watch?v=GEJCmrhrBjc PebbleBox]
*[https://www.youtube.com/watch?v=Uhps_U2E9OM Modular Musical Objects]
*[https://www.youtube.com/watch?v=Uhps_U2E9OM Modular Musical Objects]
*[https://www.youtube.com/watch?v=X6XE8IJOsZ0 Tangible Acoustic Interfaces for Computer-Human Interaction: Sound Table]
*[https://www.youtube.com/watch?v=eRlhKaxcKpA Sven König - sCrAmBlEd?HaCkZ! ]
[[Category: Clemens Wegener]]
[[Category:SS20]]

Latest revision as of 15:20, 29 December 2020

Fachmodul
Acoustic Interfaces
Instructor: Clemens Wegener
Credits: 6 ECTS, 2 SWS
Capacity: max. 10 students
Language: English
Location: Online Streaming and Material
First Meeting: tba

Description

We are constantly surrounded by electronic interfaces: elevators, automatic doors, ticket machines, remote controls, voice recognition systems, etc. With a high degree of networking between our devices, interfaces must seamlessly integrate into ecosystems of information acquisition and processing. Information acquisition and processing are becoming increasingly spatially separated. Thus, ergonomic sensor placement, which integrates discreetly into our accustomed environment, is gaining ground.

The course explores the possibilities of this ergonomic, embedded interaction using the example of acoustic interfaces. We will develop electronic sensor systems for the detection of vibrations (structure-borne sound) in integrated surfaces and experiment with machine learning methods to differentiate between vibration gestures (e.g. knocking noises, friction noises, etc.).

The Course will be taught in video sessions and regular assignments every two weeks.

If you are interested, please send a letter of motivation and portfolio to clemens.wegener ( at ) uni-weimar (dot) de.

Admission requirements

Things you need

  • computer or laptop
  • Teensy 4.0 + audio shield
  • a pair of headphones or speakers
  • a soldering iron would be a plus


We will use either the Teensy 4.0 hardware platform or the Raspberry Pi to classify sounds in the environment. Therefore, a budget of (30-40€) should be planned for the Teensy and other components.

Educational Requirements

Introductory level of programming is a requirement!

Evaluation

Successful completion of 50% of the assignments. Realization and documentation of a completed semester prototype and a final video presentation. Please refer to the Evaluation Rubric for more details.

Eligible participants

Qualified MFA Medienkunst/-gestaltung, MFA Media Art and Design, MSc MediaArchitecture candidates

Syllabus

Coming soon...

Course Material

For the time of the course, the material will reside in the internal learning platform and will be released here soon.

Further Reading

Zamborlin, Bruno. 2015. Studies on customisation-driven digital music instruments. Doctoral thesis, Goldsmiths, University of London.

Murray-Smith, Roderick & Williamson, John & Hughes, Stephen & Quaade, Torben. (2008). Stane: Synthesized surfaces for tactile input. Conference on Human Factors in Computing Systems - Proceedings. 1299-1302. 10.1145/1357054.1357257.

Rasamimanana, N.H., Bevilacqua, F., Schnell, N., Guédy, F., Fléty, E., Maestracci, C., Zamborlin, B., Frechin, J., & Petrevski, U. (2010). Modular musical objects towards embodied control of digital music. Tangible and Embedded Interaction.


Pure Data Patches

File:draw_envelope.pd

Links