Abstract
We propose a method to estimate the coefficient of static friction of floor surfaces by analyzing photo image of the floor tiles. The image features that we use to estimate the coefficient are micro-shape features and micro-depth features. We extract the difference between the flash images and the non-flash images of floor tiles. We have composed an equation by applying multiple linear regression analysis that sets the image features as explanatory variables and the measurements of the tile images as objective values. As the result, we have obtained an estimate equation that coefficient of determination R2 is 0.97 and we observed the two-sided 95 % confidence interval ±0.053. We can say that the equation is good enough for practical use.
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References
Watanabe, N., Obinata, G.: Grip force control based on the degree of slippage using optical tactile sensor. In: International Symposium on Micro-Nano Mechatronics and Human Science, pp. 466–471. IEEE Press, New York (2007)
Kim, J., Kim, D., Lee, J., Lee, J., Joo, H., Kweon, I.: Non-contact terrain classification for autonomous mobile robot. In: IEEE International Conference on Robotics and Biomimetics, pp. 824−829. IEEE Press, New York (2009)
Tamura, H., Atoda, O.: A nonlinear filter bank for shape-based texture analysis. In: Third Asia-Pacific Conference on Control and Measurement, pp. 58–62 (1998)
Tamura, H., Atoda, O.: A bank of “shape-pass” nonlinear filters extracting pictorial features of natural textures. In: Transactions of the Institute of Electronics, Information and Communication Engineers, vol. J82-D-II, no. 12, pp. 2260–2270 (1999) (in Japanese)
Haralick, R.M.: Statistical and structural approaches to textures. IEEE Proc. 67(5), 786−804 (1979)
Salari, E., Ling, Z.: Texture segmentation using hierarchical wavelet decomposition. Pattern Recogn. 28(12), 1819–1824 (1995)
Wang, L., He, D.C.: Texture classification using texture spectrum. Pattern Recogn. 23(8), 905–910 (1990)
Ganesan, L., Bhattacharyya, P.: A Statistical design of experiments approach for texture description. Pattern Recogn. 28(1), 99–105 (1995)
Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recogn. 29(1), 51–59 (1994)
Tamura, H., Kambayashi, Y.: Design of intuitive interfaces for electric wheelchairs to prevent accidents. In: Fifteenth International Conference on HCI International, vol. 6, LNCS 8009, pp. 592–601. Springer, Heidelberg (2013)
Acknowledgments
This work was supported by Japan Society for Promotion of Science (JSPS), with the basic research program (C) (No. 25420416 and 26350456), Grant-in-Aid for Scientific Research.
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Tamura, H., Kambayashi, Y. (2016). Estimation of Coefficient of Static Friction of Surface by Analyzing Photo Images. In: Czarnowski, I., Caballero, A.M., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies 2016. Smart Innovation, Systems and Technologies, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-39627-9_2
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DOI: https://doi.org/10.1007/978-3-319-39627-9_2
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