Back to articles
JIST-first
Volume: 27 | Article ID: art00007
Image
Detecting Wetness on Skin using RGB Camera
  DOI :  10.2352/J.ImagingSci.Technol.2019.63.4.040406  Published OnlineJuly 2019
Abstract

In this study, we propose a method to detect wetness on the surface of human skin and skin phantoms using an RGB camera. Recent research on affect analysis has addressed the non-contact multi-modal analysis of affect aimed at such applications as automated questionnaires. New modalities are needed to develop a more accurate system for analyzing affects than the current system. Thus we focus on emotional sweating, which is among the most reliable modalities in contact methods for affect analysis. However, sweat detection on the human skin has not been achieved by other researchers, and thus it is unclear whether their feature values are useful. The proposed method is based on feature values of color and glossiness obtained from images. In tests of this method, the error rate was approximately 6.5% on a skin phantom and at least approximately 12.7% on human skin. This research will help to develop non-contact affect analysis.

Subject Areas :
Views 22
Downloads 5
 articleview.views 22
 articleview.downloads 5
  Cite this article 

Mihiro Uchida, Norimichi Tsumura, "Detecting Wetness on Skin using RGB Camerain Proc. IS&T 27th Color and Imaging Conf.,  2019,  pp 28 - 36,  https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.4.040406

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology