In this paper we introduce a generalization of Fisher-Rao's discriminant analysis and its application in a human-computer interaction scenario: a sensing chair. Our algorithm shows to be able to successfully estimate the underlying distributions of the pressure maps data of the sensing chair. Other linear discriminant techniques, such as LDA, had been found to be inadequate for the job; typically yielding inferior results than PCA. We compare our approach to several template-based approaches and show that the new discriminant function is comparable to the best approach classifier. This is important because generally each application tends to prefer a different algorithm. Fortunately, our new algorithm is usually the top one (or comparable to the top one). In this paper we will however restrict our study tothe classification of sitting postures.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Template-based Recognition of Static Sitting Postures


    Beteiligte:
    Zhu, Manli (Autor:in) / Martinez, Aleix M. (Autor:in) / Tan, Hong Z. (Autor:in)


    Erscheinungsdatum :

    01.06.2003


    Format / Umfang :

    317560 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Chosen postures during specific sitting activities

    Kamp, Irene / Kilincsoy, Umit / Vink, Peter | Tema Archiv | 2011


    Analysis of Fatigue Evaluation for Suitability of Sitting Postures and Seats

    Katsuraki, M. / Hanai, T. / Hijikata, S. et al. | British Library Online Contents | 1998


    Static Human Body Postures Recognition in Video Sequences using the Belief Theory

    Girondel, V. / Bonnaud, L. / Caplier, A. et al. | British Library Conference Proceedings | 2005


    Static human body postures recognition in video sequences using the belief theory

    Girondel, V. / Bonnaud, L. / Caplier, A. et al. | IEEE | 2005