Persönlicher Status und Werkzeuge

Body Sensor Networks Lab

Content and goal

Content:

In this lab a simple sensor network is built 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 algorithms are developed within Matlab/Simulink and used through automatic code generation for Android. Additionally a graphical user interface (GUI) has to be implemented in Java.

Goal:

+ 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

Previous knowledge

Basic programming skills and signal analysis, Matlab/Simulink and Java preferred

General Information

  • Registration on TUMonline from  08:00, 06.09.13 to 23:59, 16.10.13 (Registration for the course is now open)
  • Master course
  • Language: German
  • Max. Participants: 12
  • Learn methods: Team work, project lab
  • ECTS Credits: 6
  • Introduction (obligatory): 14:00, 17.10.13
  • Time:
    • Introduction and question hours: Thursday 14:00-15:30
    • Access to lab computers for independent work: whole day Thursday
  • Room: 4981/4959
  • Exam
    • Presentation
    • Demo
    • Oral exam