IDEAS home Printed from https://ideas.repec.org/a/igg/jaci00/v2y2010i2p42-56.html
   My bibliography  Save this article

Collecting Datasets from Ambient Intelligence Environments

Author

Listed:
  • Piero Zappi

    (University of California San Diego, USA)

  • Clemens Lombriser

    (ETH Zürich, Switzerland)

  • Luca Benini

    (University of Bologna, Italy)

  • Gerhard Tröster

    (ETH Zürich, Switzerland)

Abstract

This paper describes a methodology and lessons learned from collecting datasets in Ambient Intelligence Environments. The authors present considerations on how to setup an experiment and discuss decisions taken at different planning steps, ranging from the selection of human activities over sensor choices to issues of the recording software. The experiment design and execution is illustrated through a dataset involving 150 recording sessions with 28 sensors worn on the subject body and embedded into tools and the environment. The paper also describes a number of unforeseen problems that affected the experiment and useful considerations that help other researchers recording their own ambient intelligence datasets.

Suggested Citation

  • Piero Zappi & Clemens Lombriser & Luca Benini & Gerhard Tröster, 2010. "Collecting Datasets from Ambient Intelligence Environments," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 2(2), pages 42-56, April.
    • Handle: RePEc:igg:jaci00:v:2:y:2010:i:2:p:42-56
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaci.2010040103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jaci00:v:2:y:2010:i:2:p:42-56. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.