2010 IEEE/RSJ International Conference on Intelligent Robots and Systems 2010
DOI: 10.1109/iros.2010.5649502
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A wearable system for the wireless experience of extended range telepresence

Abstract: Abstract-Extended range telepresence aims at enabling a user to experience virtual or remote environments, taking his own body movements as an input to define walking speed and viewing direction. Therefore, localization and tracking of the user's pose (position and orientation) is necessary to perform a body-centered scene rendering. Visual and acoustic feedback is provided to the user by a head mounted display (HMD). To allow for free movement within the user environment, the tracking system is supposed to be… Show more

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Cited by 5 publications
(3 citation statements)
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“…At the KIT, we addressed this problem with the tests of an Oculus-and Kinect-based VR-system, developed by the ISAS Laboratory (Faion, Friedberger, Zea, & Hanebeck 2012; for other ISAS-developments (see also Pérez Packi, Pérez Arias;Beutler, & Hanebeck, 2010). We used this system for the virtual re-enactment of media art into an "e-Installation".…”
Section: Multimodal and Synesthetic Documentationmentioning
confidence: 99%
“…At the KIT, we addressed this problem with the tests of an Oculus-and Kinect-based VR-system, developed by the ISAS Laboratory (Faion, Friedberger, Zea, & Hanebeck 2012; for other ISAS-developments (see also Pérez Packi, Pérez Arias;Beutler, & Hanebeck, 2010). We used this system for the virtual re-enactment of media art into an "e-Installation".…”
Section: Multimodal and Synesthetic Documentationmentioning
confidence: 99%
“…This is integral to what is known as the Plenhaptic function which, as in real-world perception, extends beyond mere touch (as articulated by Gibson, 1966). Adoption of Motion Compression as a viable interface in VR has given rise to Extended Range Telepresence and is increasingly being incorporated into VR systems (Morcillo et al, 2014;Packi et al, 2010).…”
Section: Perception the Real World And Vrmentioning
confidence: 99%
“…A more algorithmic improvement would be to deterministically approximate the predicted state. Finally, applying sensor-scheduling to extended objects or entire areas could be useful for applications like free viewpoint television [17] or telepresence [18]. …”
Section: Future Workmentioning
confidence: 99%