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File:On-the-Applicability-of-Brain-Reading-for-Predictive-Human-Machine-Interfaces-in-Robotics-pone.0081732.s001.ogv

On-the-Applicability-of-Brain-Reading-for-Predictive-Human-Machine-Interfaces-in-Robotics-pone.0081732.s001.ogv ‎(Ogg multiplexed audio/video file, Theora/Vorbis, length 3 min 57 s, 426 × 320 pixels, 270 kbps overall, file size: 7.62 MB)

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English: Online adaptation of the OMS by eBR in the teleoperation scenario. It is shown how the OMS that is adapted by eBR supports the current state, i.e., success or failure in the recognition of important information, of an operator who is teleoperating a robotic arm. In case a failure in the recognition of important, i.e., task-relevant, information is detected, the important information is repeated after a short while. In case that success in the recognition of important information was detected, the important information will not be repeated for a longer time during which a response of the subject is monitored. In case the response is missing within the extended response time the important information is repeated although BR detected success in the recognition of the important, i.e., task-relevant, information.
Date
Source Video S1 from Kirchner E, Kim S, Straube S, Seeland A, Wohrle H, Krell M, Tabie M, Fahle M (2013). "On the Applicability of Brain Reading for Predictive Human-Machine Interfaces in Robotics". PLOS ONE. DOI:10.1371/journal.pone.0081732. PMID 24358125. PMC: 3864841.
Author Kirchner E, Kim S, Straube S, Seeland A, Wohrle H, Krell M, Tabie M, Fahle M
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current07:38, 24 December 20133 min 57 s, 426 × 320 (7.62 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 240P 71 kbps Completed 21:24, 5 September 2018 1 min 35 s
Streaming 240p (VP9) 67 kbps Completed 17:49, 6 February 2024 1.0 s
WebM 360P 465 kbps Completed 03:20, 2 December 2023 24 s
Streaming 144p (MJPEG) 831 kbps Completed 05:28, 17 November 2023 6.0 s
Stereo (Opus) 1 kbps Completed 05:28, 17 November 2023 2.0 s
Stereo (MP3) 128 kbps Completed 05:28, 17 November 2023 3.0 s

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