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Development of a Measurement and Evaluation System for Bed-Making Activity for Self-training

  • Ayanori Nagata
  • Zhifeng Huang
  • Masako Kanai-Pak
  • Jukai Maeda
  • Yasuko Kitajima
  • Mitsuhiro Nakamura
  • Kyoko Aida
  • Noriaki Kuwahara
  • Taiki Ogata
  • Jun Ota
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8025)

Abstract

This study proposes a method to automatically measure multiple objects by image processing for constructing a system for nursing trainees of self-training in the skill of bed making. In a previous study, we constructed a system to measure and evaluate trainee performance using three RGB-D (RGB color and depth) sensors. Our previous system had a problem with recognition of equipment such as the bed pad and the sheet because of color change by the light condition, the automatic color correction by the sensors and color variability in one object. In this paper, we used color reduction and cluster selection for equipment recognition. The system reduced the color in images by using k-means clustering and recognized the clusters as separate objects by predetermined thresholds. Compared with the previous method, the recognition accuracy was higher and the accuracy achieved was 70%.

Keywords

image processing self-training support system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ayanori Nagata
    • 1
  • Zhifeng Huang
    • 1
  • Masako Kanai-Pak
    • 2
  • Jukai Maeda
    • 2
  • Yasuko Kitajima
    • 2
  • Mitsuhiro Nakamura
    • 2
  • Kyoko Aida
    • 2
  • Noriaki Kuwahara
    • 3
  • Taiki Ogata
    • 1
  • Jun Ota
    • 1
  1. 1.Research into Artifacts Center for Engineering (RACE)The University of TokyoKashiwa-shiJapan
  2. 2.Faculty of NursingTokyo Ariake University of Medical and Health ScienceKoto-kuJapan
  3. 3.Department of Advanced Fibro-ScienceKyoto Institute of TechnologySakyo-kuJapan

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