IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i3idhcseit172696.html

Smart Jacket for Industrial Employee Health and Safety

Author

Listed:
  • Ravi Gorli

Abstract

In contribution with Industrial safety and Employee health at work place a new costume which is equipped with the advanced technologies such as Internet of Things (IoT) and Wireless Body Area Network (WBAN) is proposed and framed as 'Smart jacket'. A Smart Jacket is a connectivity of smart sensors which will monitor the employee health and also provide precautionary measures for their safety at work from the Industrial hazards. The WBAN provides mechanisms for monitoring the health condition of the employee with a small device connected with sensors such as ECG, EEG, EMG, Pulse sensor and Respiration sensor. The safety precautions sensors as are also connected with the jacket for tracing the hazards that cause in the workplace due to Heavy machinery, harmful smoke or Gases. The monitoring will be done with a mobile device connected to the sensors with low power Bluetooth which will connect to the central Monitoring using the Bluetooth, Wi-Fi and ZigBee network.

Suggested Citation

  • Ravi Gorli, 2017. "Smart Jacket for Industrial Employee Health and Safety," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 930-932, June.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172696
    Note: Article URL: https://ijsrcseit.com/CSEIT172696
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT172696
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT172696.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v2:y2017:i3:id:hcseit172696. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.