IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Automated recognition of construction labour activity using accelerometers in field situations

Listed author(s):
  • Liju Joshua
  • Koshy Varghese
Registered author(s):

    Purpose - – Worker activity identification and classification is the most crucial and difficult stage in work sampling studies. Manual methods of recording are tedious and prone to error and, hence automating the task of observing and classifying worker activities is an important step towards improving the current practice. Very recently, accelerometer-based systems have been explored to automate activity recognition in construction, but it had been carried out in controlled environment. The purpose of this paper is to cover the evaluation of the system in field situations. Design/methodology/approach - – Experimental investigation was carried out on crews of iron workers and carpenters with accelerometer data loggers worn at selected locations on the human body. The accelerometer data collection was spread over a time period of two weeks, and video recording of the worker activities was concurrently carried out to serve as ground truth, the reference used for comparison. The activity recognition analysis was carried out on accelerometer data features using a decision tree algorithm. Findings - – It was found that the classification using the individual training scheme performed better when compared with the collective training scheme for both the trades. The field studies results showed that the classification accuracies for iron work and carpentry are 90.07 and 77.74 per cent, respectively, using decision tree classifier. It was found that similarities of movements were a major cause for lower accuracy of recognition. Research limitations/implications - – The work being preliminary in nature has used the basic classifier and pre-processing methods and, standard settings of algorithms. Originality/value - – The paper has investigated accelerometer-based method for construction labour activity classification in field situations.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.emeraldinsight.com/10.1108/IJPPM-05-2013-0099?utm_campaign=RePEc&WT.mc_id=RePEc
    Download Restriction: Access to full text is restricted to subscribers

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Emerald Group Publishing in its journal International Journal of Productivity and Performance Management.

    Volume (Year): 63 (2014)
    Issue (Month): 7 (September)
    Pages: 841-862

    as
    in new window

    Handle: RePEc:eme:ijppmp:v:63:y:2014:i:7:p:841-862
    Contact details of provider: Web page: http://www.emeraldinsight.com

    Order Information: Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK
    Web: http://www.emeraldinsight.com/IJPPM.htm Email:


    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eme:ijppmp:v:63:y:2014:i:7:p:841-862. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Louise Lister)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.