Seminar: Iron man – Mark II

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, 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 applicator project, enabling students to solve challenges regarding 3D-printed mechanics and the interaction with the wrist-band. We aim to enhance the applicator with additional sensors and the m5stack microcontroller and extend the software with a human-computer-interaction (HCI) interface. The main task, focus on the HCI and the investigation of speech recognition and voice commands for controlling the applicator. Hence, the Mark II aims at the implementation of a “Jarvis”- inspired interaction. We will evaluate approaches to control robot-routines via voice-command and explore possibilities provided by the m5stack-microcontroller. In addition, we aim to evaluate the usability of the applicator in a user study, including healthy subjects.

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: SS2019, Student Projects, Work or Study with us Archive