Bio-signal processing for human machine interaction

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