Lehrstuhl für Angewandte Softwaretechnik
Chair for Applied Software Engineering

Seminar Course: Wearables for Patients WS18/19


At a glance

  • Credits: 4 ECTS / 5 ECTS
  • Course type: Bachelor/Master Seminar Course
  • Possible module numbers: to be defined
  • Participants: 8-11 students
  • Info Meeting: June 28th 2018 14:00 (room 02.07.34).

Course description

Over the last decade, a number of wearable devices have been developed to support patients (Parkinson's, multiple sclerosis, knee injury, hip replacement surgery). For example, we developed a knee bandage that provides live feedback to patients of a knee injury while they exercise at home (see video and article).

In this course, we explore wearable devices based on existing literature with a focus on signal processing and machine learning methods to process time series sensor data.

Learning Method

The learning effect in this course occurs in three steps:

1) participants read and understand a topic. A topic might be a summary of up to three scientific papers. Alternatively, students might work on a self-chosen application to extract relevant information using a wearable device.

2) participants prepare a presentation and present it to the other participants once or twice. In an optional mid-term presentation, participants are given feedback to improve their seminar contribution (e.g. concepts that should be explained in more detail). This feedback should be incorporated in the final presentation.

3) participants learn to write a scientific paper (with a maximum of 2 pages). The scientific paper includes: introduction, problem being solved, methods to solve the problem and results obtained.

A good seminar contribution is able to abstract the methods described in the scientific paper and explain them with a simple example.


- You are familiar with either machine learning or embedded software development.

- You are interested in the field of wearable and mobile computing and willing to learn signal processing and machine learning methods.

How you can prepare for the course

  1. Have a look at the suggested papers: https://www.dropbox.com/sh/l2zdozawsbshqur/AACawikXqMXMh-FlHzW9WQqYa?dl=0

  2. Search in Google Scholar, the ACM Digital Library or in IEEE Xplore for research papers on wearable devices for an animal you might be interested in.


Event/Meeting Date Time Place Description
Info Meeting

June 28th 2018

14:00 - 16:00 02.07.34

You get an overview of the course and learn about the application process.

Kickoff Meeting October 25th 2018 14:00 - 16:00 01.07.58 We present the topics.

Mid-term Presentation

(max. 15 min)

November 29th 2018 09:00 - 11:30 01.07.58 You present your topic and get feedback from us

Final Presentation

(max. 15 min)

January 24th 2019 14:00 - 16:00 01.07.58 You present your topic (15 min presentation). Your presentation should incorporate the feedback from the mid-term presentation

Final Submission

(max. 1 page)

February 3rd 2019 until end of the day   You submit the final presentation and 1-2-page paper. (PDF files only). The templates are available in: here


Please have a look at the slides of the info meeting. Attendance to the info meeting is not mandatory but strongly recommended. The application to this course happens in the following steps:

  1. Send an email to juan.haladjian (at) in.tum.de with your motivation to participate in the project (2-4 sentences), the previous courses you have taken at our chair and your TUM grades report. (latest July 4th)
  2. Give a priority to the seminar through the matching system of the faculty. (from June 29th until July 4th)
  3. We inform you about your application. (Until June 18th)


Based on our past experience, we expect many students to apply to this seminar. Unfortunately, we have limited resources and are able to take only a maximum of 12 students to be selected based on their motivation and previous accomplishments.


The grading will depend on the quality of the final presentation (15 min) and paper submission (2 pages).

Instructors & Contact

Email us with questions at haladjia (at) in.tum.de 

Juan Haladjian


Dr. Juan Haladjian



Nadine von Frankenberg


 Bernd Brügge


Prof. Bernd Brügge, Ph.D.


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