0000002057 20W 4SWS PR Body Sensor Networks Lab   Hilfe Logo

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Body Sensor Networks Lab 
practical training
Winter semester 2020/21
Chair of Real-Time Computer Systems (Dr. Müller-Gritschneder komm.)
(Contact information)
Allocations: 1 
Angaben zur Abhaltung
In this lab a simple sensor network is build using an external accelerometer sensor and internal sensors of modern smartphones. Goal is to determine the physical activity, e.g. "walking", "running", "jumping", "cycling", based on accelerometer data. The algorithmes are developed within Matlab/Simulink and used for automatic code generation for Android. Additionally a graphical user interface (GUI) has to be implemented in Java.

This lab will be offered as a block course for two weeks starting from 18.03.202 till 03.04.2020. The lab is accessible on all days and the instructor will be available for queries.
Basic programming skills and signal analysis, Matlab/Simulink and Java are beneficial
+ Hands-on experience in team-work (cooperation, project-/time planning, etc.)
+ Java-based programming of modern smartphones (Android)
+ High-Level programming and automatic code generation with Matlab/Simulink
+ Algorithms for physical activity recognition
  • German
  • English
Hands-on lab, free timing during project work
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Note: Registration via TUMOnline
Online information
e-learning course (moodle)
Additional information
additional information