Beschreibung |
The language for this course will be chosen together on the first meeting.
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. 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.). We will use the Teensy 4.0 hardware platform to classify sounds in the environment. Therefore, a budget of (30-40€) should be planned for the Teensy and other components.
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