Mobile Health and Activity Monitoring 2026
Health and activity monitoring has become a key purpose of mobile and wearable devices, including phones, (smart) watches, (smart) rings, (smart) belts, and other trackers. In this course, we will cover the fundamental aspects that these devices observe, i.e., user behavior and activity, actions, and physiological dynamics of the human body, as well as the sensors, signals, and methods to capture, process, and analyze them. We will then cover methods for pattern extraction, behavior modeling, and classification on such data. The course will therefore touch on aspects of human activities, cardiovascular and pulmonary physiology, affective computing (recognizing, interpreting, and processing emotions and related states), corresponding lower-level sensing systems (e.g., inertial sensing, optical sensing, photoplethysmography, electrodermal activity, electrocardiograms), and camera-based sensing via computer vision (e.g., facial expressions, motion, gestures), as well as processing methods for these types of data.
Overview
- Course
- 252-0312-00L Mobile Health and Activity Monitoring
- Lecturer
- Christian Holz
- Head TA
- Max Moebus (max.moebus@inf....)
- Supporting TAs
- Björn Braun, Andjela Ilic, Rachel Schuchert
- Communication
- Please address all questions (on content, organization, etc.) on Moodle
link to Mobile Health & Activity Monitoring Moodle 2026 - Lecture
-
ETH lecture room CAB G 11.
All lectures will be recorded (link in Moodle)
Mondays, 2–4pm
first lecture: February 16, 2026
last lecture: May 18, 2026 - Exercise
-
ETH lecture room CAB G 56.
Mondays, 1–2pm (TA Hours may end as early as 1:15pm if no students are present.)
first TA Hour: tbd
All exercises will be announced on Moodle, including deliverables, expectations, and submission dates. - Exam
-
end-of-term exam (Semesterendprüfung)
type: in-person computer-based exam
when: June tbd, 2026
location: tbd - Credits
- 6 ECTS
- Materials
- slides, assignments, and recordings