Christian Holz: Catalogue data in Spring Semester 2022 |
| Name | Prof. Dr. Christian Holz |
| Field | Computer Science |
| Address | Intelligente interaktive Systeme ETH Zürich, STD G 29.2 Stampfenbachstrasse 48 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 84 39 |
| christian.holz@inf.ethz.ch | |
| URL | https://siplab.org |
| Department | Computer Science |
| Relationship | Associate Professor |
| Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||
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| 252-0312-00L | Mobile Health and Activity Monitoring  Previously Ubiquitous Computing, now with a focused and technical scope. | 6 credits | 2V + 3A | C. Holz | |||||||||||||||||||||||||||||||||||
| Abstract | Health and activity monitoring has become a key purpose of mobile & wearable devices, e.g., phones, watches, and rings. We will cover the phenomena they capture, i.e., user behavior and actions, basic human physiology, as well as the sensors, signals, and methods for processing and analysis. For the exercise, students will receive a wristband to stream and analyze activity and health signals. | ||||||||||||||||||||||||||||||||||||||
| Learning objective | The course comprises a series of introductions to the cross-disciplinary area of mobile health with technical follow-up lectures. * Introduction to the basic (digital) health ecosystem * Introduction to basic cardiovascular function and processes * Overview of sensors and signal modalities (PPG, ECG, camera-based/remote PPG, BCG, PTT) * Introduction to affective computing, psychological states, basic personalities, emotions * Overview of motion sensors, signals, sampling, filters * Overview of basic signal processing specific to the metrics related to mobile health * Introduction to user studies: controlled in-lab vs. outside the lab * Introduction to sleep physiology and neurological conditions * Overview of device platforms: components of wearables, design, communication The course will combine high-level concepts with low-level technical methods needed to sense, detect, and understand them. High-level: – sensing modalities for interactive systems – "activities" and "events" (exercises and other mechanical activities such as movements and resulting vibrations) – health monitoring (basic cardiovascular physiology) – affective computing (emotions, mood, personality) Lower-level: – sampling and filtering, time and frequency domains – cross-modal sensor systems, signal synchronization and correlation – event detection, classification, prediction using basic signal processing as well as learning-based methods – sensor types: optical, mechanical/acoustic, electromagnetic ------------------------------------------------------------ The course was previously called "Ubiquitous Computing", but has been redesigned to focus solely on the technical aspects of Ubicomp, particularly those related to mobile health, activity monitoring, data analysis, interpretation and insights. | ||||||||||||||||||||||||||||||||||||||
| Content | 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. Full details: https://teaching.siplab.org/mobile_health_activity_monitoring/2022/ Note: All lectures will be streamed live and recorded for later replay. Hybrid participation will be possible even if ETH should return to full presence teaching. | ||||||||||||||||||||||||||||||||||||||
| Lecture notes | Copies of slides will be made available Lectures will be streamed live as well as recorded and made available online. More information on the course site: https://teaching.siplab.org/mobile_health_activity_monitoring/2022/ Note: All lectures will be streamed live and recorded for later replay. Hybrid participation will be possible even if ETH should return to full presence teaching. | ||||||||||||||||||||||||||||||||||||||
| Literature | Will be provided in the lecture | ||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 252-3800-00L | Advanced Topics in Mixed Reality  Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 credits | 2S | C. Holz | |||||||||||||||||||||||||||||||||||
| Abstract | In the recent years, there have been major technological advances in commercial virtual and augmented reality systems. Those advancements lead to many open challenges in terms of perception and interaction as well as technical challenges. In this course, students present and discuss papers from relevant top-tier research venues to extract techniques and insights from MR research. | ||||||||||||||||||||||||||||||||||||||
| Learning objective | The objective of the seminar is for participants to collectively learn about the state-of-the-art research in Mixed Reality (primarily augmented and virtual reality) and closely related areas. This includes the ability to concisely present results of pioneering as well as state-of-the-art research. Another objective is to collectively discuss open issues in the field and developing a feeling for what constitutes research questions and outcomes in the field of technical Human-Computer Interaction. | ||||||||||||||||||||||||||||||||||||||
| Content | The seminar format is as follows: attendees individually read one full-paper publication, working through its content in detail and possibly covering some of the background if necessary, and present the approach, methodology, research question and implementation as well as the evaluation and discussion in a 20–25 min talk in front of the others. Each presenter will then lead a short discussion about the paper, which is also guided by questions posed to the audience. | ||||||||||||||||||||||||||||||||||||||
| Literature | 24 papers will be provided by the lecturer and distributed in the first seminar on a first-come, first-served basis according to participants' preferences. The lecturer will also give a brief run-down across all 24 papers in a fast-forward style, covering each paper in a single-minute presentation, and outline the difficulties of each project. The schedule is fixed throughout the term with easier papers being presented earlier and more comprehensive papers presented later in the term. | ||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | All students (including students on waiting list) are welcome in the first seminar to see the overview over the papers we will discuss. After assigning papers, the seminar will be limited to 24 attendees, i.e., only enrolled students can participate in the presentations and discussions. | ||||||||||||||||||||||||||||||||||||||