학술논문
Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education]
Document Type
Periodical
Source
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 35(3):110-130 May, 2018
Subject
Language
ISSN
1053-5888
1558-0792
1558-0792
Abstract
By bringing research into the curriculum, this article explores new opportunities to refresh some classic signal processing courses. Since 2015, we in the Electrical and Electronic Engineering (EEE) Department of Imperial College London, United Kingdom, have explored the extent to which the level of student engagement and learning can be enhanced by inviting the students to perform signal processing exercises on their own physiological data. More specifically, using new wearable sensor technology and video instructions as an experiment guide, the students are asked to record their electrocardiograms (ECGs) and perform both time- and spectral-domain estimation tasks on their own real-world data. In this way, the students not only gain experience with recording hardware and sources of signal contamination (baseline wanders and artifacts), but they also are highly motivated by being kept in the loop and through their part ownership of their course.