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Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device

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Pattern Recognition and Image Analysis (IbPRIA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5524))

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Abstract

In this work the feasibility of building a socially aware badge that learns from user activities is explored. A wearable multisensor device has been prototyped for collecting data about user movements and photos of the environment where the user acts. Using motion data, speaking and other activities have been classified. Images have been analysed in order to complement motion data and help for the detection of social behaviours. A face detector and an activity classifier are both used for detecting if users have a social activity in the time they worn the device. Good results encourage the improvement of the system at both hardware and software level.

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References

  1. Moran, T.P., Dourish, P.: Introduction to Special Issue on Context-Aware Computing. Human-Computer Interaction (HCI) 16(2-3), 87–96 (2001)

    Article  Google Scholar 

  2. Pentland, A.: Socially Aware Media. In: MULTIMEDIA 2005: Proceedings of the 13th annual ACM international conference on Multimedia, vol. 1, pp. 690–695 (2005)

    Google Scholar 

  3. Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., Wood, K.: SenseCam: A Retrospective Memory Aid. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 177–193. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Dietterich, T.G.: Machine Learning for Sequential Data: A Review. In: Caelli, T.M., Amin, A., Duin, R.P.W., Kamel, M.S., de Ridder, D. (eds.) SPR 2002 and SSPR 2002. LNCS, vol. 2396, pp. 15–30. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Wolpert, D.H.: Stacked generalization. Neural Netw. 5(2), 241–259 (1992)

    Article  Google Scholar 

  6. Allwein, E.L., Schapire, R.E., Singer, Y.: Reducing multiclass to binary: a unifying approach for margin classifiers. JMLR 1, 113–141 (2001)

    MathSciNet  MATH  Google Scholar 

  7. Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data. In: Proc. Pervasive, Vienna, Austria, vol. 1, pp. 1–17 (2004)

    Google Scholar 

  8. Huang, L., Shimizu, A., Kobatake, H.: Classification-based face detection using Gabor filter features. Automatic Face and Gesture Recognition 21(9), 849–870 (2004)

    Google Scholar 

  9. Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J.: From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 643–660 (2001)

    Article  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Casale, P., Pujol, O., Radeva, P. (2009). Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-02172-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02171-8

  • Online ISBN: 978-3-642-02172-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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