Abstract
Natural Human-Computer Interaction (NHCI) was hypothesized in the nineties as a solution to close the gap between computers and systems. It claims for interfaces that can be used in a natural and intuitive way through non intrusive and invisible input sensors, exploiting advances and results of pattern recognition, and image and speech understanding. This paper presents a multiuser natural interaction system that supports cooperative interaction in the manipulation and management of multimedia objects. The system uses a computer vision module to recognize and analyze hand gestures made by several users over a shared large display table.
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References
Aifanti, S., Strintzis, N.: A gesture recognition system using 3D data. Thessaloniki Univ., Greece (2002)
Colombo, C., Del Bimbo, A., Valli, A.: A real-time full body tracking and humanoid animation system. Parallel Computing, North-Holland (2004)
Frigola, M., Fernandez, J., Aranda, J.: Visual human machine interface by gestures. In: Universitat Politècnica de Catalunya, Barcelona, Spain (2003)
Isaacs, J., Foo, S.: Hand pose estimation for American sign language recognition. In: FAMU-FSU, Tallahassee, FL (2004)
Kapuscinski, T., Wysocki, M.: Hand gesture recognition for man-machine interaction. Rzeszow Univ., Poland (2001)
Leibe, B., Starner, T., Ribarsky, W., Wartell, Z., Kru, D., Singletary, B., Hidges, L.: The Perceptive Workbench: Toward Spontaneous and Natural Interaction in Semi-Immersive Virtual Environments. Georgia Inst. of Tech., USA (2000)
Marsic, I., Medl, A., Flanagan, J.: Natural communication with information systems. Rutgers Univ., Piscataway (2000)
Mulder, A.: Hand Gestures for HCI - Research on human movement behaviour reviewed in the context of hand centred input. Simon Fraser University, Canada (1996)
Norman, D.A.: Psychology of Everyday Things (1998)
O’Hagan, R., Zelinsky, A.: Visual gesture interfaces for virtual environments. Australian Nat. Univ., Australia (2000)
Starner, T., Auxier, J., Ashbrook, D., Gandy, M.: The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. Georgia Inst. of Technol., Atlanta (2000)
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Del Bimbo, A., Landucci, L., Valli, A. (2005). Computer Vision Based System for Interactive Cooperation of Multiple Users. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_53
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DOI: https://doi.org/10.1007/11556121_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
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