Engineering Interactive Systems: AI & Wearables (EIS)

  • Type: M.Sc. Lecture
  • Semester: Winter Semester

This course introduces key concepts and state-of-the-art engineering principles for interactive systems. Specifically, the human-centered design process is introduced and contextualized with a specific focus on biosignal-based adaptive systems. The lectures introduces wearable technologies and biosignal intelligence (leveraging Artificial Intelligence on sensor data to analyze human activities).

The course is complemented with an engineering capstone project, where students work in a team with real-world use cases in order to realize a prototypical biosignal-based adaptive system using state-of-the-art wearable technologies (e.g., Smartwatches) as well as existing software libraries and APIs for biosignal processing and analysis.