Seminar: Iron man – Mark III

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 attach a sensor to the wrist? The question of attaching sensors to the human automatically was the initial idea for this seminar.
Hence, in the initial Iron man project (Mark I), 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. In the follow-up project (Mark II) we enhanced the assisstive robot with speech recogniton, to control the motors via voice commands.

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 applicator project, enabling students to solve challenges regarding 3D-printed mechanics and the interaction with the wrist-band. We aim to further optimise the usability of the applicator using visual guidance. The main task, focus on the human-computer-interaction (HCI) and the investigation of supportive visual feedback to the speech recognition and voice commands controlled applicator. Hence, the Mark II aims at the implementation of a “Jarvis”- inspired interaction. Another main task in this project, devising and testing interactions with the applicator in a usability study.

Learning objectives

The learning objectives include, but are not limited to:

• 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.
• Discuss approaches of HCI and speech-recognition.
• 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

Literature

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

Contact

Adrian Derungs

• Job title: Researcher
• Phone number: +49 9131 85-23605
• Email: adrian.derungs@fau.de

Category: Student Projects, Work or Study with us Archive, WS2019/20