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
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DOI - Digital Object Identifier
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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
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Result continuities
Project
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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
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e-ISSN
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Number of pages
4
Pages from-to
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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
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