Max amount of FITech students: 20
Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.
Are you fascinated by the world of smart wearables? Would you like to learn how to create innovative devices like smart gloves for gesture recognition in hand rehabilitation from scratch? Our course is designed to guide you through this exciting journey with interactive lectures, tutorials, and hands-on exercises.
Whether you’re from a design school, electrical engineering, or computer science background—or even if you’re venturing into new territory—this course is crafted to be beginner-friendly and engaging. You’ll have the opportunity to collaborate in a multidisciplinary team and DIY your first amazing wearable.
Join us and explore new skills while having fun! Many of our past participants have successfully brought their creative ideas to life. Discover what past participants say about this course. Get inspired and become part of the future of wearable technology!
Course contents
The course teaches basic knowledge and skills required for developing smart wearables, especially e-textile-based smart garment for sensing or energy harvesting. Besides theories, you will gain hands-on experience of basic electronic design, textile fabrication, Arduino programming, and machine learning using tools like Scikit-learn.
Learning outcomes
After the course, the students are able to
- describe the basic working mechanisms of textile-based sensors and energy harvesters
- implement simple prototypes of smart textiles, such as pressure sensors, using conductive materials and common fabrication techniques, and evaluate the performance of these prototypes
- write a software tool to collect signals of textile-based sensors/energy harvesters and apply basic machine learning techniques to process the signals into meaningful information.
Course material
Lecture slides, tutorial videos, and other reading materials will be published on Aalto’s MyCourses platform. Lectures can be recorded and shared internally with course participants. Electronic and textile materials required for completing the project work will be provided by the university. Tools: Arduino and Scikit-learn.
Teaching schedule
- There are typically 2 contact sessions per week. Depending on the schedule, the contact sessions may be implemented as lectures, tutorials, guided exercise sessions or Q&A sessions.
- The course consists of two main modules: basics of e-textiles and basics of machine learning.
- You can get 6 credits if you successfully complete both modules. It is also allowed to complete only one of these modules to get 3 credits.
Completion methods
- No exam. Students need to complete learning diaries and individual/group hands-on exercises.
- You can also complete the course partly online. You need to pick up materials from Otaniemi in the beginnig of the course and make the final demo on April 10th 12:15-14:00 in person.
More information in the Aalto University study guide.
You can get a digital badge after completing this course.