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Interpretation of Pointing Gestures: The PoG System

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Gesture-Based Communication in Human-Computer Interaction (GW 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1739))

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Abstract

We present in this paper a system named PoG. Its role is to recognise and interpret natural pointing gestures in the context of a multimodal interaction. The user’s hand gestures are tracked by a camera located above a building plan. The user points to a room on the plan with his index finger while using speech to ask for some information from the system. The PoG system is composed of an extraction process, which computes visual primitives, a recognition process, providing the name of the gesture, and a localisation process, which computes the coordinates of the index tip.

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References

  1. Braffort, A., Gherbi, R.: Video-Tracking and Recognition of Pointing Gestures using Hidden Markov Models. In Proceeding of IEEE Inter. Conf. on Intelligent Engineering Systems, Vienna, Austria, September, 1998.

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  3. Nölker, C., Ritter, H.: Detection of Fingertips in Human Hand Movement Sequences. In Gesture and Sign Language in Human-Computer Interaction. I. Wachsmuth & M. Fröhlich (Eds.), Lecture Notes in Artificial Intelligence # 1371, Springer-Verlag, 1998.

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© 1999 Springer-Verlag Berlin Heidelberg

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Gherbi, R., Braffort, A. (1999). Interpretation of Pointing Gestures: The PoG System. In: Braffort, A., Gherbi, R., Gibet, S., Teil, D., Richardson, J. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 1999. Lecture Notes in Computer Science(), vol 1739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46616-9_14

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  • DOI: https://doi.org/10.1007/3-540-46616-9_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66935-7

  • Online ISBN: 978-3-540-46616-1

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