| CODE | 90531 |
|---|---|
| ACADEMIC YEAR | 2021/2022 |
| CREDITS |
|
| SCIENTIFIC DISCIPLINARY SECTOR | INF/01 |
| LANGUAGE | English |
| TEACHING LOCATION |
|
| SEMESTER | 2° Semester |
| TEACHING MATERIALS | AULAWEB |
"Well-Being Technologies" (WBT) concerns the synergistic usage of technologies such as m-Health, wearable and ambient sensors, (Serious) Game Design, Gamification, IoT, Virtual Reality, Computational Intelligence, and Data Mining to the design of systems supporting the development of wellness and human potential. WBT can contribute to the change of people's mindset, improving their mood and wellness, to the early diagnosis of cognitive illness and to the cognitive rehabilitation.
Learning how to design positive computing systems for cognitive and physical wellness, disease prevention, and rehabilitation, by combining sensors, wearable devices and advanced methods for computational intelligence.
Class, lab, project and outside preparation
Sensor and devices of the electronic consumer market (accelerometer, eye traker, brain-computer interface, balance board, sensored wristbands, cardboard, Okulus, etc.): physical principles, electronics characteristics, software development kits, applications. Interfacing sensors to games (Unity)
Paradigms for well-being systems design: positive psychology, personalized medicine, gamification, neurofeedback, serius games, exergames, hedonic design, e-health, m-health, virtual reality, augmented reality. Case studies.
Advances in Machine Learning and Computational Intelligence for the analysis, modeling and fusion of large scale data generated by sensors
Individual project development (teams of 2 students)
Student projects discussion
{BEZ81} J. C. Bezdek,Pattern recognition with fuzzy objective function algorithms, Plenum Press, 1981 (CSB di Fisica
{ZIMM96} H.J. Zimmermann, Fuzzy set theory and its applications, 2ed., Kluwer Academic Publishers, 1996 (MAT 04-1996-01, MAT 04-1996-02, LETT 14.E.169)
Additional material will be provided by Aulaweb site of the course
Office hours: On Thursday from 16.00 to 18.00 by appointment agreed on email (The teacher has more courses for various courses of study, always specify the name and course)
Office hours: All lecture days after class (approx. 20 min). Upon prior agreement, at any other time.
FRANCESCO MASULLI (President)
ANNALISA BARLA
STEFANO ROVETTA (President Substitute)
Second semester
All class schedules are posted on the EasyAcademy portal.
Oral examination and project discussion
| Date | Time | Location | Type | Notes |
|---|---|---|---|---|
| 29/07/2022 | 09:00 | GENOVA | Esame su appuntamento | |
| 16/09/2022 | 09:00 | GENOVA | Esame su appuntamento | |
| 10/02/2023 | 09:00 | GENOVA | Esame su appuntamento |