Lecture: Physiological Computing and Neuroergonomics

• Lecturer: Dr. Lewis Chuang
• Tutorials: Francesco Chiossi, Jesse Grootjen, Dr. Lewis Chuang
• Contact: pcn@um.ifi.lmu.de
• Credit hours: 3 + 2
• ECTS-Credits: 6
• Modul: Elective course (Vertiefende Themen) for Masters Media Informatics, Informatics and Human-Computer Interaction
• Language: English

News

• Please for future updates refer to the Uni2work PCN page.
• All correspondence should be sent to pcn@um.ifi.lmu.de. Emails sent to any other email addresses may not receive a timely reply.

Examination

• There are no aids allowed.
• To pass, min. 50% of the points can be achieved.
• Exam date: 28.7.2020 from 16.00 -18.00 in room B 101
• Extra Exam data: 30.09.2020 from 10-12 room TBA

Registration

• https://uni2work.ifi.lmu.de/course/S20/IfI/PCN

Content

Our bodies are supported by numerous functions and mechanisms that allow us to respond to the requirements of our environment as well as to support our intentions. Our hearts beat faster and our pupils dilate, in anticipation of physical exertion; neurons fire from the skeletomuscular system to the peripheral and central nervous system and back. Many of these functions are physically measurable. While large and expensive biomedical devices were previously necessary to acquire such data, the last decade has witnessed a growth in the miniaturization and cost-effectiveness of consumer-grade wearable sensors. This creates a potential for computing systems that are responsive to changes in their users’ physiological state.
This course is designed to provide students with a basic knowledge of the human physiological system as well as train students to acquire, analyze, and interpret data. The goal is to provide students with a fundamental understanding of the physiological activity to the extent that it can be meaningfully submitted to a computing systems. This course could complement but is NOT a suitable substitute for fundamental courses in human physiology (e.g., Neurophysiology, Dept. Physiological Genomics). The following topics will be covered:

• Optical and electrical data acquisition for physiological activity
• Time-series analysis for physiological activity
• The peripheral nervous system
• Electrodermal activity
• Pupil tracking
• The skeletomuscular system
• Electromyography
• Electrical muscle stimulation)
• The central nervous system
• Electroencephalography
• Event-related potentials
• Physiological computing systems

Structure and Schedule (tentative)