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WELL-BEING TECHNOLOGIES

CODE 90531
ACADEMIC YEAR 2021/2022
CREDITS
  • 6 cfu during the 1st year of 10852 COMPUTER SCIENCE (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

    Exam Board

    FRANCESCO MASULLI (President)

    ANNALISA BARLA

    STEFANO ROVETTA (President Substitute)

    LESSONS

    LESSONS START

    Second semester

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    Oral examination and project discussion

    Exam schedule

    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