Seminar: Iron man – Mark II

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Seminar Iron Man Suit

Course description

Wearable sensor technology, particularly inertial measurement sensors are used in various motion analysis including applications in sport, medicine, and rehabilitation of patients after stroke. However, how would a hemiparetic stroke patient mount a sensor?
In the initial Iron man project, we designed and built a prototype to self-attach a wrist-worn sensor using 3D printing technology, see Figure 1. We extended our assistive robot with sensors, electronics, a microcontroller and coded an initial controlling routine.

Fig.1. The pictures illustrate the progress of the initial Iron man project during the summer term 2018, including a first sketch of the Iron man gantry vision to the final prototype.


In this follow-up project, we continue our assistive robot project and focus further on electronics and software and aim to implement a “Jarvis”- inspired human-computer-interaction approach. We will evaluate approaches to control robot-routines via voice-command, investigate audio feedback, and explore the possibilities provided by the versatile m5stack-microcontroller. Further improvements on the 3D-printed robot-structure and the wrist-band could be designed too, e.g. to re-charge the battery of the wrist-band.

In particular, we aim to further develop and extend our assistive robot, allowing users to self-attach and remove a wristband with an integrated motion sensor. A key-aspect of this seminar includes the evaluation of the usability, hence a study with healthy subjects will be implemented.

Learning objectives

  • Learning design principles in an engineering project, including 3D-printing, mechanical engineering, electronics, sensors and actuators, as well as software.
  • Defining design requirements and propose solutions for wearables.
  • Developing mechanical parts, 3D-printing, electronic and software engineering.
  • Gain practical experience in an interdisciplinary systems-engineering project.
  • (Wearable) Sensor technology used in rehabilitation, i.e. for hemiparetic patients after stroke.
  • Teamwork.

Course data

ECTS 5 / 7.5
Project type MSc.-Seminar (Group work), Extension to MSc.-Thesis can be discussed.
Work distribution 10% Theory, 60% Programming 30% Evaluation
Presence time Lecture: 1SWS, Exercises: 3SWS
Useful knowledge Mech./El./Inf.- Engineering, Python, m/e-CAD design knowledge beneficial
Period Winter semester 2018/19


Up-to-date literature recommendations will be provided during the seminar.


Adrian Derungs

Friedrich-Alexander-Universität Erlangen-Nürnberg