Bio-signal processing for human machine interaction

Faculteit Science and Engineering
Jaar 2021/22
Vakcode WMBE026-05
Vaknaam Bio-signal processing for human machine interaction
Niveau(s) master
Voertaal Engels
Periode semester I a
ECTS 5
Rooster rooster.rug.nl

Uitgebreide vaknaam Bio-signal processing for human machine interaction
Leerdoelen At the end of the course, the student is able to:
1) Describe invasive, obtrusive, and unobtrusive measurement techniques and common measurement errors inherent to
these techniques.
2) Apply pre-processing techniques to minimize the effect of measurement errors inside a control loop.
3) Apply artificial intelligence and machine learning is in control algorithms for human machine interaction.
4) Reflect on and improve features for a control algorithm that is based on machine learning techniques using biomedical
domain knowledge.
5) Explain device transparency, gravity compensation, and assist-as-needed control.
6) Generate control concepts for a robotic device that includes a human into the control loop.
7) Explain different ways of intention detection and compare them with respect to their accuracy and the timeframe that
they can predict.
8) Solve unseen machine human interaction problems using an adequate control and intention prediction method for a
robotic device.
Omschrijving The course will introduce methods that are used in human in the loop control for human machine interaction. Various measuring techniques to monitor the state of the human user including invasive, obtrusive and non-obtrusive sensors will be introduced.
Through case studies the course will teach students how to select an adequate set of sensors, a control strategy, and if necessary an intention detection method for a robotic system with human machine interaction. New opportunities which artificial intelligence opens in the field of human-robot interaction will be explored.
Uren per week
Onderwijsvorm Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC)
Toetsvorm Verslag (R)
(The final grade is obtained from the report. Each student writes an individual report.)
Vaksoort master
Coördinator Dr. E. Wilhelm
Verplichte literatuur
Titel Auteur ISBN Prijs
Reader on Nestor
Entreevoorwaarden
Opmerkingen Study load:
Lectures 26 hours
Assignment 30 hours
Practical 16 hours
Self-study 68 hours
In total: 140 hours (5 ECTS)
Opgenomen in
Opleiding Jaar Periode Type
MSc Biomedical Engineering: Medical Device Design 2 semester I a verplicht
MSc Courses for Exchange Students: Engineering: Biomedical-Industrial-Mechanical - semester I a
MSc Mechanical Engineering: Advanced Instrumentation  (Electives ) 1 semester I a keuze
MSc Mechanical Engineering: Smart Factories  (Electives ) 1 semester I a keuze