Παρουσίαση/Προβολή

AIDL_B_CS03 Wearable and Affective Computing

(AIDL_B_CS03) - Michail Feidakis, George Priniotakis, Sotiria Galata

Περιγραφή Μαθήματος

Course type: Minor
Semester: 2nd
ECTS: 6
Duration: 13 weeks
Courses: Instructor-led + online
Language: Greek with English notes
Assessment: Project based

Online attendance: MS Teams link

Ημερομηνία δημιουργίας

Πέμπτη 14 Ιανουαρίου 2021

Σελίδα μαθήματος

Περίγραμμα
Course Objectives/Goals

This course brings together the emotion & affect theoretical background from psychology, pedagogy, and neuroscience, together with cutting-edge affective computing technologies (sensors, wearables, feature extraction) and applications, also informed from AI & ML advanced algorithms.
Instructors
- Michalis Feidakis (Course Coordinator)
  - Lecturer/Senior Researcher, Department of Electrical & Electronics Engineering / CoNSeRT
  - (+30)210-538.1637
  - Office ZB214, 2nd Floor, Building ΖB, Ancient Olive Grove Campus, Hours: Every Thursday 5-6pm
  - m.feidakis@uniwa.gr
  - https://aidl.uniwa.gr/instructors/michalis-feidakis/
- Georgios Priniotakis
  - Professor, Department of Industrial Design and Production Engineering
  - (+30)210-538.1335
  - Office ΖΑ214, 2nd Floor, Building Ζ, Ancient Olive Grove Campus, Hours:
  - gprin@uniwa.gr
  - https://aidl.uniwa.gr/instructors/georgios-priniotakis/
- Sotiria Galata
  - Associate Professor, Department of Electrical & Electronics Engineering
  - +30 210 538-1643
  - Office: A209, Building A, Ancient Olive Grove Campus Hours:
  - sgalata@uniwa.gr
  - https://eee.uniwa.gr/en/index.php?option=com_content&view=article&id=1343
Bibliography
1. Feidakis, G. Maros, και A. Antikantzidis, ‘A Deep learning model to recognize facial emotion expressions’, in Lecture Notes in Networks and Systems (LNNS) book series of Springer, Springer, 9/2023, https://link.springer.com/book/10.1007/978-3-031-44097-7
2. J. Andriole, S. Abolfazli, και M. Feidakis, ‘Responsible, Explainable, and Emotional AI’, IT Prof., τ. 24, τχ. 5, σσ. 16–17, Σεπτεμβρίου 2022, doi: 10.1109/MITP.2022.3211900.
3. Calvo, R. A., D’Mello, S., Gratch, J., & Kappas, A. (Eds.). (2015). The Oxford handbook of affective computing. Oxford University Press.
4. Feidakis, M., Rangoussi, M., Kasnesis, P., Patrikakis, C., Kogias, D., & Charitopoulos, A. (2019). Affective Assessment in Distance Learning: A Semi-explicit Approach. The International Journal of Technologies in Learning, 26(1), 19–34. https://doi.org/10.18848/2327-0144/CGP/v26i01/19-34
5. Feidakis, M., Kasnesis, P., Giatraki, E., Giannousis, C., Patrikakis, C., & Monachelis, P. (2019). Building Pedagogical Conversational Agents, Affectively Correct: Proceedings of the 11th International Conference on Computer Supported Education, 100–107. https://doi.org/10.5220/0007771001000107
6. Picard, R. W. (2000). Affective computing (First paperback edition). The MIT Press.