File:Biosignalverarbeitung.ogv
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Original file (Ogg multiplexed audio/video file, Theora/Vorbis, length 9 min 10 s, 1,280 × 720 pixels, 1.59 Mbps overall)
Summary[edit]
Description |
Deutsch: Binnen Sekunden können Menschen feststellen, welcher Stimmung ihr Gegenüber gerade ist. Dominic Heger vom Cognitive Systems Lab des Karlsruher Instituts für Technologie (KIT), erforscht die elektronische Erfassung von Gehirnströmen, um die Interaktion zwischen Mensch und Maschine grundlegend zu verbessern. Dieser Beitrag ist eine Produktion von InsideScience. Das DFG-Projekt erkundet am KIT neue Formen der Wissenschaftskommunikation im Web 2.0. Mit Filmen zur Arbeit der Sonderforschungsbereiche „Theoretische Teilchenphysik" und „Humanoide Roboter" will InsideScience den Dialog zwischen Öffentlichkeit und Wissenschaft ermöglichen.
English: Biological data processing for humanoid robots
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Date | |
Source | Biosignalverarbeitung für die humanoide Roboter-Interaktion |
Author | InsideScience – Öffentliche Wissenschaft in Sonderforschungsbereichen |
Licensing[edit]
This file is licensed under the Creative Commons Attribution 3.0 Unported license. | ||
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This file, which was originally posted to Biosignalverarbeitung für die humanoide Roboter-Interaktion, was reviewed on by the administrator or reviewer Érico Júnior Wouters, who confirmed that it was available there under the stated license on that date. |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 08:19, 2 April 2013 | 9 min 10 s, 1,280 × 720 (104.14 MB) | Daniel Mietchen (talk | contribs) | User created page with UploadWizard |
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Update transcode statusFormat | Bitrate | Download | Status | Encode time |
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WebM 720P | 1.3 Mbps | Download file | Completed 08:50, 2 April 2013 | 30 min 24 s |
WebM 480P | 1.08 Mbps | Download file | Completed 08:42, 2 April 2013 | 22 min 19 s |
WebM 360P | 574 kbps | Download file | Completed 08:33, 2 April 2013 | 13 min 42 s |
Ogg 480P | 1.06 Mbps | Download file | Completed 08:28, 2 April 2013 | 8 min 40 s |
Ogg 360P | 566 kbps | Download file | Completed 21:26, 15 May 2014 | 5 min 16 s |
Ogg 160P | 195 kbps | Download file | Completed 21:19, 15 May 2014 | 1 min 27 s |