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Skin color image analysis for evaluating wetness on palm with reducing influence of sharp highlights

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Abstract

In this study, we analyzed color changed by wetness in various areas on palm to clarify the influence of highlights. To improve the accuracy of emotion estimation, it is necessary to suggest other modalities combined with the conventional modalities. Therefore, we focused on emotional sweating, which is reliable modality of contact methods but not used in non-contact methods. We analyzed the color change in images containing a few highlights to clarify the influence of sharp highlights because the highlights can be noise for the analysis of internal reflection change by getting wet. The sharp highlight means the bright pixels in images of gloss material. We also analyzed areas separated from pixels representing sharp highlights to unveil the influence of the sharp highlights. As a result, we found that sharp highlights have a little influence on the analysis and better detection can be performed on pixels not containing sharp highlight area.

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Authors and Affiliations

  1. Graduate School of Science and Engineering, Chiba University, Chiba, Japan

    Mihiro Uchida

  2. Graduate School of Engineering, Chiba University, Chiba, Japan

    Norimichi Tsumura

Authors
  1. Mihiro Uchida
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  2. Norimichi Tsumura
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Correspondence to Mihiro Uchida.

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Uchida, M., Tsumura, N. Skin color image analysis for evaluating wetness on palm with reducing influence of sharp highlights. Artif Life Robotics 24, 505–511 (2019). https://doi.org/10.1007/s10015-019-00543-z

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  • DOI: https://doi.org/10.1007/s10015-019-00543-z

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