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Vorlesung: Physiological Computing and Neuroergonomics

  • Dozent: Dr. Lewis Chuang
  • Tutorials: Francesco Chiossi, Jesse Grootjen, Dr. Lewis Chuang
  • Kontakt: pcn@um.ifi.lmu.de
  • Semesterwochenstunden: 2 + 3
  • ECTS-Credits: 6
  • Modul: Vertiefende Themen für Master Medieninformatik, Master Informatik und Master Mensch-Computer-Interaktion
  • Sprache: Englisch

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Klausur/Nachholklausur

  • There are no aids allowed.
  • To pass, min. 50% of the points can be achieved.
  • Dates and locations for exam and re-takes exam are not defined but will be published as soon as possible.

Termine und Ort

  • TBD

Inhalt

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

Aufbau und Zeitplan (vorläufig)

Datum Zeit Vorlesung Übung
24.04 10:00 - 11:45 V01: Overview of Psychophysiological Computing and Neuroergonomics Übung 1
1.05 - Keine Vorlesung Keine Übung
8.05 10:00 - 11:45 12:00-14:45

V02: The Body Electric

Übung 2
15.05 10:00 - 11:45 12:00-14:45 V03: The nervous system (ANS and CNS) Übung 3
22.05 10:00 - 11:45 12:00-14:45 V04:The Somatic System (Muscles) Übung 4
29.05 10:00 - 11:45 12:00-14:45 V05: Facial EMG and Affective Computing Übung 5
05.06 10:00 - 11:45 12:00-14:45 V06: Electrodermal System Übung 6
12.06 10:00 - 11:45 12:00-14:45 V07: Cardiovascular System Übung 7
19.06 10:00 - 11:45 12:00-14:45 V08: EEG 1: Basics and Physiology Übung 8
26.06 10:00 - 11:45 12:00-14:45 V09: EEG 2: Inference of EEG and Event-related measurements Übung 9
03.07 10:00 - 11:45 12:00-14:45 V10: EEG 3 - EEG Correlates for BCI Übung 10
10.07 10:00 - 11:45 12:00-14:45 V11: Brain Computer Interfaces Übung 11
17.07 10:00 - 11:45 12:00-14:45 V12: Eye-Tracking
24.07 10:00 - 11:45 12:00-14:45 Revision