Advertisement

Enhancement on Stain Detection for Automatic Handwashing Audit Vision System

  • Faradila NaimEmail author
  • Muhammad Aizat Romaino
  • Rosyati Hamid
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 538)

Abstract

Hand hygiene of the health care worker is critical to prevent infectious disease such as airborne diseases, nosocomial infections, and Hepatitis A among patients. Currently, the handwashing audit among hospital staffs are done manually by observation from an expert. There is a need for automation ease the process and accuracy in detection using vision system. This paper focus on the enhancement of the established prototype and the detection system by the additional third template. The prototype is enhanced by size reduction, sturdier material and hands placement base. The vision system uses a robust threshold to detect the discolored stain with an enhancement on stain templates. The detection and recognition of palm in images is a key research topic that has attracted attention owing to an unveiling human perception mechanism. The system accuracy has increased by 40% from previous work by the enhancement which for three cases the system accurately detects stains on washed hands with Glogerm by 71% and unwashed hand with GloGerm by 81%.

Keywords

Handwashing Hand detection Image processing 

Notes

Acknowledgements

The work is done using UMP’s research grant RDU170130 that promotes publications of the work and future verification with the collaborator from HUSM.

References

  1. 1.
    GOV.UK Homepage, https://www.gov.uk/government/news/save-lives-clean-your-hands. Last accessed 25 Nov 2017
  2. 2.
    Amal, K.H., Carole, T., Shamima, A., Abbas, B., Richard, J., Stephen, P.L.: Observed hand cleanliness and other measures of handwashing behavior in rural Bangladesh. BMC Publ. Health 10, 545 (2010)Google Scholar
  3. 3.
    Allegranzi, B., Pittett, D.: Role of hand hygiene in healthcare-associated Infection prevention. J. Hosp. Infect. 305–315 (2009)CrossRefGoogle Scholar
  4. 4.
    Llorea, D.F., Parra, I., Sotelo, M.A., Lacey, G.: A vision based system for automatic hand washing quality assessment. Machine vision and application (2011)CrossRefGoogle Scholar
  5. 5.
    Dhawan, A., Honrao, V.: Implementation of hand detection based techniques for human computer interaction. Int. J. Comput. Appl. (0975–8887) 72(17), 6–13 (2013)Google Scholar
  6. 6.
    Chin-liang su: Palm extraction and identification. Expert system with applications, Expert Syst. Appl. 36, 1082–1091 (2009)Google Scholar
  7. 7.
    Perveen, N., Kumar, D., Bhardwaj, I.: An overview on template matching methodologies and its applications. Int. J. Res. Comput. Commun. Technol. 2(10), 988–995 (2013)Google Scholar
  8. 8.
    Faradila, N., Rawaida J., Arshad, N.W., Rosyati, H., Razali, M.N.: Unclean hand detection machine using vision sensor. Electronics, Communications and Photonics Conference (SIECPC), pp. 1–4. Saudi International, IEEE (2013)Google Scholar
  9. 9.
    Faradila, N., et al.: Analysis of unclean hand system detection using template matching technique. J. Telecomm. Electron Comput. Eng. (JTEC) 10(1–2), 143–146 (2018)Google Scholar
  10. 10.
    Best sanitizers inc.: hand hygiene, http://gobrandstand.com/index.php?/hand-hygiene/. Last accessed 20 Apr 2017 (2013)

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Faradila Naim
    • 1
    Email author
  • Muhammad Aizat Romaino
    • 1
  • Rosyati Hamid
    • 1
  1. 1.Univeristi Malaysia PahangPekanMalaysia

Personalised recommendations