CODE 90531 ACADEMIC YEAR 2020/2021 CREDITS 6 cfu anno 1 COMPUTER SCIENCE 10852 (LM-18) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB 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 FRANCESCO MASULLI 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) STEFANO ROVETTA 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 LESSONS START Second semester Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral examination and project discussion Exam schedule Data appello Orario Luogo Degree type Note 30/07/2021 09:00 GENOVA Esame su appuntamento 17/09/2021 09:00 GENOVA Esame su appuntamento 11/02/2022 09:00 GENOVA Esame su appuntamento