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

Students will be provided with a sound grounding on the design of positive computing systems for cognitive and physical wellness, disease prevention and rehabilitation. Students will learn key elements in: sensors and wearable devices, their physical principles and related software development systems; some advanced methods of Computational Intelligence for classification, regression, and clustering. Students will participate to the discussion of several case studies of positive computing systems for well-being. Students will be involved in project activities.

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

Exam Board

FRANCESCO MASULLI (President)

STEFANO ROVETTA (President)

ANNALISA BARLA

PATRIZIA BOCCACCI

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