Multimodal user interfaces

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.08612
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2020

    Schedules and rooms

    Summary schedule Friday 10:15 - 13:00, Hebdomadaire (Spring semester)
    Struct. of the schedule 3h par semaine durant 14 semaines
    Hours per week 3

    Teaching

    Responsibles
    • Lalanne Denis
    Teachers
    • Lalanne Denis
    Description

    Multimodal interfaces (MMIs) coordinate natural input modalities (such as voice, gesture, facial expressions etc.) with multimedia output modalities (such as video, audio, information visualizations, 3D graphics etc.). This course is oriented towards Master students who want to gain a deeper understanding of the domain and will give them the basic techniques for designing, implementing and evaluating multimodal interfaces, as well as theoretical knowledge on multimodality, representation, visualisation of information and cognitive ergonomics.

    Training objectives

    During the practical exercises, students will have the opportunity to create their own multimodal interfaces. By the end of the course, a student should:
    - Be able to design, program and evaluate a multimodal interface, thanks to the hands-on practice throughout the course.
    - Know the properties of multimodal interfaces.
    - Master the different levels of multimodal fusion.
    - Be familiar with the architectures of software adapted to multimodal interfaces and be able to understand synchronicity       problems.
    - Have theoretical and practical knowledge of: gesture recognition, speech recognition, information visualisation and tangible   interfaces.
    - Understand and know how to apply the various methods to evaluate multimodal interfaces.

    Comments

    MSc-CS BENEFRI - (Code Ue: 03035 Track: T0, Code Ue: 33035 Track: T3) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.

    Softskills No
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    21.02.2020 10:15 - 13:00 Cours PER 21, Room B130
    28.02.2020 10:15 - 13:00 Cours PER 21, Room B130
    06.03.2020 10:15 - 13:00 Cours PER 21, Room B130
    13.03.2020 10:15 - 13:00 Cours PER 21, Room B130
    20.03.2020 10:15 - 13:00 Cours PER 21, Room B130
    27.03.2020 10:15 - 13:00 Cours PER 21, Room B130
    03.04.2020 10:15 - 13:00 Cours PER 21, Room B130
    24.04.2020 10:15 - 13:00 Cours PER 21, Room B130
    01.05.2020 10:15 - 13:00 Cours PER 21, Room B130
    08.05.2020 10:15 - 13:00 Cours PER 21, Room B130
    15.05.2020 10:15 - 13:00 Cours PER 21, Room B130
    29.05.2020 10:15 - 13:00 Cours PER 21, Room B130
  • Assessments methods

    Written exam

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Computer Science (Master level)

    Additional programme requirements for PhD studies [PRE-DOC]
    Version: 2020_1/v_01
    Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Computer Science (Master level)

    Computer Science [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Computer Science (Master level)

    Computer Science [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Computer Science (Master level)

    Digital Neuroscience (Specialised Master) 120 [MA]
    Version: 2023_1/V_01
    sp-MSc in Digital Neuroscience, compulsory courses (practical courses, projects, seminars) > sp-MSc in Digital Neuroscience, compulsory courses (from AS2023 on)

    MSc in Computer science (BeNeFri)
    Version: 2023_1/V_01
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T6: Data Science
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T0: General
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T3 : Visual Computing

    Ma - Business Communication : Business Informatics - 90 ECTS
    Version: 2020/SA_V02
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Informatik > General
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Informatik > Visual Computing

    Ma - Business Informatics - 90 ECTS
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Module IT and IT Management > Visual Computing
    Classes - min. 45 ECTS > Module IT and IT Management > General

    MiMa - Business Informatics - 30 ECTS
    Version: 2020/SA_V01
    Cours > Module Informatik > General
    Cours > Module Informatik > Visual Computing