About: The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events     Goto   Sponge   NotDistinct   Permalink

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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 (%22AWEAR%22 - 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
  • 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 (%22AWEAR%22 - 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 (en)
  • 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 (%22AWEAR%22 - 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 (cs)
Title
  • The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events
  • The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events (en)
  • The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events (cs)
skos:prefLabel
  • The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events
  • The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events (en)
  • The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events (cs)
skos:notation
  • RIV/68407700:21230/08:03150858!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • R
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 363721
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03150858
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Audio-Visual Event Detection; Augmented Cognition; Multimodal Interaction; Sensor Platform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1CDB5ACE5453]
http://linked.open...v/mistoKonaniAkce
  • Chania, Crete
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • ICMI 2008: Proceedings of the 10th International Conference on Multimodal Interfaces
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pajdla, Tomáš
  • Havlena, Michal
  • Torii, Akihiko
  • Anemüller, J.
  • Bach, J.
  • Hermansky, H.
  • Pavel, M.
  • Van Gool, L.
  • Zweig, A.
  • Kayser, H.
  • Caputo, B.
  • Jie, L.
  • Leibe, B.
  • Motlicek, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-60558-198-9
http://localhost/t...ganizacniJednotka
  • 21230
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