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Lecture: Physiological Computing and Neuroergonomics

  • Lecturer: Dr. Lewis Chuang
  • Contact:
  • Credit hours: 3 + 2
  • ECTS-Credits: 6
  • Modul: Elective course (Vertiefende Themen) for Masters Media Informatics, Informatics and Human-Computer Interaction
  • Language: English


  • Please attend the first lecture on 29th of April to receive information about the organization of the course
  • The course will not take place on 6th of May and 10th of June (public holiday)


  • Closed book examination (slides and written material not permitted)
  • Successful course completion requires 50% correct

Registration via Uniworx


Dates and Location

  • Lecture: Monday, 10:00am - 11:45am c.t.,  First date: 29.04.19.
  • Exercise: Monday, 12pm - 14:45 c.t., First date: 29.04.19
  • Location: Amallienstraße 73A, Room 220


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 Vorlesung (in UniWorX verfügbar) Übung
29.04.19 Organization, Introduction to Signal Processing Foundations, Basic Electricity, Neuroanatomy and Neurophysiology, Introduction to SciPy, Panda, Domains, FFT, Features
06.05.19 No Lecture No Exercise