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Identifying the Addressee in Human-Human-Robot (2008) Interactions Depending on, Michael Katzenmaier
Abstract With this perform we look into the power of acoustic and visual cues,Office 2010 Product Key, and their mixture,Windows 7 Download, to recognize the addressee inside a human-human-robot interaction. Determined by eighteen audiovisual recordings of two human beings and a (simulated) robot we discriminate the interaction from the two humans from your interaction of 1 human using the robot. The paper compares the outcome of 3 techniques. The primary method uses purely acoustic cues to locate the addressees. Low level,Windows 7 64 Bit, function primarily based cues also as higher-level cues are examined. Within the 2nd method we check no matter whether the human's head pose is a suitable cue. Our results show that visually estimated head pose is a more reliable cue for the identification with the addressee within the human-human-robot interaction. From the third strategy we combine the acoustic and visual cues which results in significant improvements.
Details der Publikation Download Quelle Mitarbeiter CiteSeerX Archiv CiteSeerX - Scientific Literature Digital Library and Search Engine (United States) Keywords attentive interfaces,Windows 7, focus of attention,Office 2010 Product Key, head pose estimation Typ text Sprache Englisch Verknüpfungen 10.1.1.6.1719, 10.1.1.28.8271