VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

376-1176-00L 5 Credits DR , MSC D-MAVT , D-PHYS , D-ITET , D-HEST

Wearable and Mobile Technologies of the Future - Focus on Sports and Health

Lecturers & Examiners: Prof. Dr. Carlo Menon, Dr. Corin Otesteanu, Dr. Manuel Reis Carneiro
VVZ CR n/a

Last Updated: 2026-06-03 00:07:31

Abstract

The course introduces concepts about wearable and unobtrusive technologies for sport and health data collection. Tools for analysing this data and evaluating the performance of these systems are introduced. Topics such as monitoring movement and muscle activation, mental focus, stress, and heart health are covered.

Objective

Objective 1: Acquire knowledge about wearable and unobtrusive technologies and skills to process data acquired using wearable technologies. Objective 2: Provide students with hands-on experience using various wearable technologies, including textile-based stretchable sensors, electromyography (EMG), electroencephalogram (EEG) and electrocardiogram (ECG).

Content

The course consists of the following modules: Module 0: Fundamentals This module briefly reviews time, frequency domains, transforms and filtering. Module 1: Movement. This module provides the scientific background needed to understand the principles that current technologies investigating movement rely on. It provides an overview of wearable technologies for monitoring overall body movement as well as for tracking motion parameters (e.g. gait, running, posture). Technologies such as inertial measurement units, electromyography, optical motion capture systems, and others are covered. The latest updates on wearable-related (e.g., textile-based) technologies are also introduced. Students are involved in labs/assignments to put into practice the knowledge and skills acquired during this module. Module 2: Brain. This module briefly introduces brain functions and provides an overview of related wearable technologies. Topics covered may include electroencephalograms, transcranial magnetic stimulation, and galvanic vestibular stimulation. Data processing techniques such as common spatial patterns, principal component analysis, and linear discriminant analysis are introduced. Students are given a practical assignment to put into practice the knowledge and skills acquired during this module. Module 3: Cardiac. This module focuses on wearable technologies for monitoring cardiac health. The module starts by providing information on cardiac physiology and introduces wearable technologies for the heart. Topics such as electrocardiography, photoplethysmography are introduced. Analysis techniques for cardiac data including time-freqeuncy plots (e.g. Wavelet transforms, Short-Time Fourier Transforms), heart-rate variability transforms are discussed. Students will be given an assignment to put into practice the knowledge and skills acquired during this module.

General Information

Language
English
Levels
DR , MSC
Frequency
Yearly recurring

Examination

Type
end-of-semester examination
Mode
written 180 minutes
Aids
A Formula Sheet will be provided by the instructors for students to use during the exam at the end of the course. Students can use a non-programmable scientific calculator during such an exam.
Compulsory continuous performance assessments:• The first lab assignment is mandatory (pass/fail). This lab assignment must be passed in order to pass the course. Not taking or failing this lab assignment would result in failing the course.• Two to five home assignments/labs/presentations, which may include coding and a short written summary, graded 1-6 and overall contributing 25% to the final grade.

Registration & Places

Max Places
70
Signup End
27.09.2026

Course Components

Type Title Time & Place Hours
lecture with exercise Wearable and Mobile Technologies of the Future - Focus on Sports and Health No time listed 3 h weekly

Offered In