Mobile Health and Activity Monitoring (Spring 2023)
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 (e.g., shoe clips, pendants). In this course, we will cover the fundamental aspects that these devices observe, i.e., user behavior, 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 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), corresponding lower-level sensing systems (e.g., inertial sensing, optical sensing, photoplethysmography, eletrodermal activity, electrocardiograms) and higher-level computer vision-based sensing (facial expressions, motions, gestures), as well as processing methods for these types of data.
The course will be accompanied by a group exercise project, in which students will apply the concepts and methods taught in class. Students will receive a wearable wristband device that streams IMU data to a mobile phone (code will be provided for receiving, storing, visualizing on the phone). Throughout the course and exercises, we will collect data of various human activities from the band, annotate them, analyze, classify, and interpret them. For this, existing and novel processing methods will be developed (plenty of related work exists), based on the collected data as well as existing datasets. We will also combine the band with signals obtained from the mobile phone to holistically capture and analyze health and activity data.
Overview
- Course
- 252-0312-00L Mobile Health and Activity Monitoring
- Lecturers
- Christian Holz
- Head TA
- Max Moebus (max.moebus@inf....)
- Supporting TAs
- Björn Braun, Paul Streli, and Manuel Meier
- Communication
- Please address all questions (on content, organization, etc.) on Moodle
link to Mobile Health & Activity Monitoring Moodle 2023 - Lecture
-
ETH lecture room CAB G 11.
All lectures will be streamed live and recorded (link in Moodle)
Mondays, 2pm–4pm
first lecture: February 20
last lecture: May 22 - Exercise
-
ETH lecture room CAB G 57.
Mondays, 1pm–2pm (TA Hours may end as early as 1:15pm if no students are present.)
first TA Hour: March 13
last TA Hour: May 22
All exercises will be announced in the lecture, including deliverables, expectations, and submission dates. - Exam
-
end-of-term exam (Semesterendprüfung)
type: in-person computer-based exam
when: June 12, 2023, 2pm–3:30pm
location: HG F 1, HG G 26.5 - Credits
- 6 ECTS
- Materials
- slides, assignments, and recordings