Deep Learning for Action Recognition in Augmented Reality Assistance Systems

Schröder M, Ritter H (2017)
In: ACM SIGGRAPH 2017 Posters. 75:1-75:2.

Kurzbeitrag Konferenz / Poster | Veröffentlicht | Englisch
 
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URN
urn:nbn:de:0070-pub-29118886
Autor*in
Schröder, MatthiasUniBi; Ritter, HelgeUniBi
Einrichtung
Technische Fakultät > AG Neuroinformatik
Center of Excellence - Cognitive Interaction Technology CITEC
Projekt
"Adaptive and Mobile Action Assistance in Daily Living Activities" (ADAMAAS) - adaptive technical systems - for an intuitive interaction between humans and complex technologies
Erscheinungsjahr
2017
Titel des Konferenzbandes
ACM SIGGRAPH 2017 Posters
Seite(n)
75:1 - 75:2
Konferenz
ACM SIGGRAPH
Konferenzort
Los Angeles, CA, USA
Konferenzdatum
2017-07-30 – 2017-08-03
Page URI
https://pub.uni-bielefeld.de/record/2911888

Zitieren

Schröder M, Ritter H. Deep Learning for Action Recognition in Augmented Reality Assistance Systems. In: ACM SIGGRAPH 2017 Posters. 2017: 75:1-75:2.
Schröder, M., & Ritter, H. (2017). Deep Learning for Action Recognition in Augmented Reality Assistance Systems. ACM SIGGRAPH 2017 Posters, 75:1-75:2.
Schröder, Matthias, and Ritter, Helge. 2017. “Deep Learning for Action Recognition in Augmented Reality Assistance Systems”. In ACM SIGGRAPH 2017 Posters, 75:1-75:2.
Schröder, M., and Ritter, H. (2017). “Deep Learning for Action Recognition in Augmented Reality Assistance Systems” in ACM SIGGRAPH 2017 Posters 75:1-75:2.
Schröder, M., & Ritter, H., 2017. Deep Learning for Action Recognition in Augmented Reality Assistance Systems. In ACM SIGGRAPH 2017 Posters. pp. 75:1-75:2.
M. Schröder and H. Ritter, “Deep Learning for Action Recognition in Augmented Reality Assistance Systems”, ACM SIGGRAPH 2017 Posters, 2017, pp.75:1-75:2.
Schröder, M., Ritter, H.: Deep Learning for Action Recognition in Augmented Reality Assistance Systems. ACM SIGGRAPH 2017 Posters. p. 75:1-75:2. (2017).
Schröder, Matthias, and Ritter, Helge. “Deep Learning for Action Recognition in Augmented Reality Assistance Systems”. ACM SIGGRAPH 2017 Posters. 2017. 75:1-75:2.
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9.72 MB
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OA Open Access
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2019-09-06T09:18:49Z
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