• DocumentCode
    3597180
  • Title

    Poster abstract: Gesture recognition via continuous maximum entropy training on accelerometer data

  • Author

    Liu, Alan L. ; Yang, Jun ; Boda, P?©ter P??l

  • Author_Institution
    Univ. of Washington, Seattle, WA, USA
  • fYear
    2009
  • Firstpage
    371
  • Lastpage
    372
  • Abstract
    This work presents a gesture recognition system via continuous maximum entropy (MaxEnt) training on accelerometer data. MaxEnt models are commonly learned using generalized iterative scaling (GIS), which is an iterative algorithm for most convex optimization problems.
  • Keywords
    gesture recognition; iterative methods; maximum entropy methods; MaxEnt; accelerometer; generalized iterative scaling; gesture recognition; iterative algorithm; maximum entropy training; Accelerometers; Computer vision; Entropy; Geographic Information Systems; Iterative algorithms; Mobile computing; Natural language processing; Permission; Predictive models; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
  • Print_ISBN
    978-1-4244-5108-1
  • Electronic_ISBN
    978-1-60558-371-6
  • Type

    conf

  • Filename
    5211912
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3597180