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The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150858" target="_blank" >RIV/68407700:21230/08:03150858 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events

  • Original language description

    It is of prime importance in everyday human life to cope with and respond appropriately to events that are not foreseen by prior experience. Machines to a large extent lack the ability to respond appropriately to such inputs. An important class of unexpected events is defined by incongruent combinations of inputs from different modalities and therefore multimodal information provides a crucial cue for the identification of such events, e.g., the sound of a voice is being heard while the person in the fieldof- view does not move her lips. In the project DIRAC (``Detection and Identification of Rare Audio-visual Cues'') we have been developing algorithmic approaches to the detection of such events, as well as an experimental hardware platform to test it.An audio-visual platform ("AWEAR" - audio-visual wearable device) has been constructed with the goal to help users with disabilities or a high cognitive load to deal with unexpected events. Key hardware components include stereo panorami

  • Czech name

    The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events

  • Czech description

    It is of prime importance in everyday human life to cope with and respond appropriately to events that are not foreseen by prior experience. Machines to a large extent lack the ability to respond appropriately to such inputs. An important class of unexpected events is defined by incongruent combinations of inputs from different modalities and therefore multimodal information provides a crucial cue for the identification of such events, e.g., the sound of a voice is being heard while the person in the fieldof- view does not move her lips. In the project DIRAC (``Detection and Identification of Rare Audio-visual Cues'') we have been developing algorithmic approaches to the detection of such events, as well as an experimental hardware platform to test it.An audio-visual platform ("AWEAR" - audio-visual wearable device) has been constructed with the goal to help users with disabilities or a high cognitive load to deal with unexpected events. Key hardware components include stereo panorami

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ICMI 2008: Proceedings of the 10th International Conference on Multimodal Interfaces

  • ISBN

    978-1-60558-198-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Chania, Crete

  • Event date

    Oct 20, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article