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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Arsic, Dejan; Wöllmer, Martin; Rigoll, Gerhard; Roalter, Luis; Kranz, Matthias 
Titel:
Automated 3D Gesture Recognition Applying Long Short-Term Memory and Contextual Knowledge in a CAVE 
Abstract:
Virtual reality applications are emerging into various regions of research and entertainment. Although visual and acoustic capabilities are already quite impressive, a wide range of users still criticizes the user interface. Frequently complex and very sensitive input devices are being used, although simple gestures would be preferred. While gesture recognition systems are quite common, see Nintendo's Wii mote, a CAVE has further challenges, as the person can be located in any random position an...    »
 
Kongress- / Buchtitel:
Proc. ACM Multimedia 2010 Workshop - Multimedia Pervasive Video Analysis MPVA 
Verlagsort:
Florence, Italy 
Jahr:
2010 
Reviewed:
ja 
Sprache:
de 
Semester:
SS 02 
Format:
Text