ELEC-E7840 - Smart Wearables, Lecture, 8.1.2025-4.4.2025

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

  • At the end of the Smart Wearables I course, students should be 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.

Credits: 3 - 6

Schedule: 08.01.2025 - 04.04.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Yu Xiao

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    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.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    The final grade is calculated based on the amount of points collected from individual and group assignments.

Workload

  • valid for whole curriculum period:

    interactive lectures, tutorials, lab work, group assignments, learning diaries

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring III - IV
    2025-2026 Spring III - IV

Vastuullisen käyttäytymisen periaatteet yliopistoympäristössä (voimassa 1.8.2020 alkaen)

Aalto-yliopiston opiskelua koskevat eettiset säännöt ja niiden rikkomusten käsittely