Content:

This course introduces key concepts and state-of-the-art engineering principles for interactive systems with a specific focus on biosignal-based adaptive systems leveraging AI and wearables. The course introduces key concepts of interactive systems and corresponding engineering processes. Furthermore, it introduces the interplay of human activities, sensors, and biosignals with a specific focus on wearable technologies. Finally, the concept biosignal intelligence (leveraging Artificial Intelligence on sensor data to analyze human activities) is introduced.

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. 

Learning Objectives:

• Describe key elements and outcomes of interactive systems as well as key activities and techniques of the human-centered design process for engineering interactive systems
• Articulate key concepts of biosignal-based adaptive systems as an emerging class of interactive systems
• Explore key concepts of wearable technologies as well as integrated sensor technologies for collecting biosignals capturing human activities
• Understand key activities required for biosignal processing, modeling, and consumption by leveraging artificial intelligence & data science methods
• Collect hands-on experience in a capstone project and deliver a prototypical solution for a real-world biosignal-based adaptive system using wearable technologies and AI in a team effort 

Contact: 

Elias Mueller (elias.mueller@kit.edu)