Human Activity Recognition – Application of the Raspberry PI Minicomputer in a Laboratory Exercise

Authors

  • PAULA STĘPIEŃ Politechnika Śląska, Wydział Inżynierii Biomedycznej, Katedra Informatyki i Aparatury Medycznej, Polska
  • MARCIN RUDZKI Politechnika Śląska, Wydział Inżynierii Biomedycznej, Katedra Informatyki i Aparatury Medycznej, Polska

DOI:

https://doi.org/10.15584/eti.2017.2.44

Keywords:

activity recognition, inertial sensors, signal processing, Raspberry PI, laboratory exercise, biomedical engineering

Abstract

The paper presents an application of the Raspberry PI minicomputer equipped with inertial sensors in human activity recognition laboratory exercise for students of Biomedical Engineering studies.

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Published

2017-03-30

How to Cite

STĘPIEŃ, P., & RUDZKI, M. (2017). Human Activity Recognition – Application of the Raspberry PI Minicomputer in a Laboratory Exercise. Journal of Education, Technology and Computer Science, 20(2), 335–340. https://doi.org/10.15584/eti.2017.2.44

Issue

Vol. 20 No. 2 (2017): Edukacja – Technika – Informatyka

Section

THE PROBLEMS OF INFORMATICS EDUCATION

License

Copyright (c) 2017 Journal of Education, Technology and Computer Science

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.