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Wearable Systems I
Last Updated: 2026-02-05 14:55:14
Abstract
Basic methods for the fusion of sensor signals analysis with emphasis on context recognition of mobile communication systems (Wearable Computer). Sensor signal processing, data fusion, wavelets, Bayes Decision Theory, Dempster-Shafer Theory and Hidden Markov Modelle are the main topics following the schedule of a design project.
Objective
Concepts and methods of wearable mobile systems: heterogeneous systems and hardware platforms, context sensitivity, signal processing on digital signal processors. Carrying out of a design project.
Content
Miniaturisation using textile motherboards, heterogeneous computer and communication architectures, sensors for context aware system control (see www.wearable.ethz.ch ). Design project: Using a sensor module connnected with a combined palmtop/signal processor allows the detection of the current user environment; validation with MATLAB and testing with several user scenarios.
Resources
Lecture Notes
Lecture notes for all lessons, assignments and solutions.http://www.ife.ee.ethz.ch/~junker/ws1
Literature
Literatur wird in den jeweiligen Vorlesungseinheiten benannt
General Information
- Language
- German
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Wearable Systems I |
|
4 h weekly |