IFD:Acoustic Interfaces: Difference between revisions

Revision as of 20:55, 23 April 2020

Fachmodul
Acoustic Interfaces
Instructor: Clemens Wegener
Credits: 6 ECTS, 2 SWS
Capacity: max. 12 students
Language: English
Location: Marienstrasse 7B, R002
First Meeting: 9th April 2019, 9:15 AM

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. Basic knowledge of electronics will be taught in the course.

Admission requirements

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!

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 (subject to change)

Coming soon...

Course Material

Pure Data Patches

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 etcher and 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!

@@ Line 1: / Line 1: @@
 [[:Category:Fachmodul|Fachmodul]] <br/>
-'''Printing Acoustic Interfaces'''<br />
+'''Acoustic Interfaces'''<br />
 ''Instructor:'' [[Clemens Wegener]]<br/>
 ''Credits:'' 6 [[ECTS]], 2 [[SWS]]<br/>
@@ Line 9: / Line 9: @@
 ==Description==
-This course focuses on printing acoustic sensors for the sensing of structure-born sound. Print processes like silver ink-jet and screen printing can be applied to manufacture acoustic sensors. Tapping and sliding gestures on an acoustic surface have a different sound impact, which can be leveraged to design new interaction concepts. The course focuses on developing a concept for acoustic interaction and developing a working prototype with appropriate sensors and signal processing abilities to materialize your concepts.
+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. Basic knowledge of electronics will be taught in the course.
 ==Admission requirements==
-Knowledge in Hard- and Software would be highly appreciated, but is not a requirement.The needed functional components will be explained throughout the course. In parallel you will develope your own interaction concepts or product prototypes. For buying electronic components, a little budget of 10€ to 20€ is neccessary. Of course you can keep your manufactured works.
+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!
 ==Evaluation==
-Successful completion of the course is dependent on regular attendance, active participation, completion of assignments, delivery of a relevant semester prototype and documentation. Please refer to the [[/EvaluationPAISS19 |Evaluation Rubric]] for more details.
+Successful completion of 50% of the assignments. Realization and documentation of a completed semester prototype and a final video presentation. Please refer to the [[/EvaluationAISS20 |Evaluation Rubric]] for more details.
 ==Eligible participants==
@@ Line 21: / Line 29: @@
 ==Syllabus (subject to change)==
-* Session 1: Examples of acoustic interfaces
+Coming soon...
-* Session 2: Introduction to printed electronics workflow
-* Session 3: Brainstorm for project proposals
-* Session 4: Workshop: Printed electronics
-* Session 5: Introduction to the electronic workshop and tools
-* Session 6: Amplifier circuits and technology
-* Session 7: Prototyping Workshop 1
-* Session 8: Prototyping Workshop 2
-* Session 9: Connecting to Arduino or Raspberry Pi
-* Session 10: Audio signal processing in Pure Data 1
-* Session 11: Audio signal processing in Pure Data 2
-* …
-* Session XX: Final project presentations (9th July)
 ==Course Material==
@@ Line 41: / Line 37: @@
 ==Further Reading==
-Suganuma, Katsuaki: Introduction to Printed Electronics. New York: Springer Science+Business Media, 2014.
-Y. Kawahara, S. Hodges, N. Gong, S. Olberding and J. Steimle, "Building Functional Prototypes Using Conductive Inkjet Printing," in IEEE Pervasive Computing, vol. 13, no. 3, pp. 30-38, July-Sept. 2014.
 Zamborlin, Bruno. 2015. Studies on customisation-driven digital music instruments. Doctoral thesis, Goldsmiths, University of London.
@@ Line 51: / Line 44: @@
 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.
-Jones, Randy & Driessen, Peter & Schloss, W & Tzanetakis, George. (2009). A Force-Sensitive Surface for Intimate Control.
 ==Pure Data Patches==
@@ Line 67: / Line 59: @@
 ==Links==
-Inspiration for your projects:
 *[https://vimeo.com/301199365 Hyper Surfaces]