WELL-BEING TECHNOLOGIES

WELL-BEING TECHNOLOGIES

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iten
Last update 01/07/2020 20:52
Code
90531
ACADEMIC YEAR
2020/2021
CREDITS
6 credits during the 1st year of 10852 COMPUTER SCIENCE (LM-18) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
INF/01
LANGUAGE
English
TEACHING LOCATION
GENOVA (COMPUTER SCIENCE )
semester
2° Semester
Teaching materials

OVERVIEW

"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.

 

AIMS AND CONTENT

LEARNING OUTCOMES

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.

Teaching methods

Class, lab, project and outside preparation

SYLLABUS/CONTENT

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

RECOMMENDED READING/BIBLIOGRAPHY

 {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

 

TEACHERS AND EXAM BOARD

Ricevimento: 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)

Ricevimento: All lecture days after class (approx. 20 min). Upon prior agreement, at any other time.

Exam Board

FRANCESCO MASULLI (President)

ANNALISA BARLA

STEFANO ROVETTA (President Substitute)

LESSONS

Teaching methods

Class, lab, project and outside preparation

LESSONS START

Second semester

ORARI

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

EXAMS

Exam description

Oral examination and project discussion

Exam schedule

Date Time Location Type Notes
11/02/2022 09:00 GENOVA Esame su appuntamento