Abstract
The evolution of automatic learning techniques has permitted the development of plenty of applications focused on data management and manipulation. Furthermore, the progress regarding the implementation of embedded systems has reached superlative levels considering the characteristics and functionality that this offers. On this context, this work proposes the challenge of merging these techniques in just one application. To this effect, first, a state-of-art review on the field of therapies of teaching-stimulation is considered. Thereafter, using automatic learning techniques, data will be analyzed with the aim of proposing a stimulation technique which offers better results compared to the traditional techniques. This way, one of the proposed stimulation techniques based on an embedded system will be implemented and the application will be verified in therapy sessions with children. Finally, the results achieved will be compared to the revision made earlier to verify their performance.
Original language | English |
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Title of host publication | EDUNINE 2020 - 4th IEEE World Engineering Education Conference |
Subtitle of host publication | The Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings |
Editors | Claudio da Rocha da Rocha Brito, Melary M. Ciampi |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728166384 |
DOIs | |
State | Published - Mar 2020 |
Event | 4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia Duration: 15 Mar 2020 → 18 Mar 2020 |
Publication series
Name | EDUNINE 2020 - 4th IEEE World Engineering Education Conference: The Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings |
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Conference
Conference | 4th IEEE World Engineering Education Conference, EDUNINE 2020 |
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Country/Territory | Colombia |
City | Bogota |
Period | 15/03/20 → 18/03/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Keywords
- embedded system
- machine learning
- multi-sensorial stimulation
- stimulation therapies