Collaborative and Industrial Design

Smart Wearables

This course will cover basics of e-textiles and basic machine learning techniques (e.g., classification, regression, clustering) for processing signals of e-textile-based sensors/energy harvesters into meaningful information. Besides lectures, it will provide tutorials on basic circuit design, fabrication methods, and embedded programming, which would help students learn to build simple prototypes of e-textile-based smart wearables.
e-textile samples

Learning Outcomes


After completing the course, students are able to:

  1. Describe the basic working mechanisms of textile-based sensors and energy harvesters.
  2. Implement simple prototypes of smart textiles, such as pressure sensors, using conductive materials and common fabrication techniques, and evaluate the performance of these prototypes.
  3. 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.
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