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An Analysis of Feelings of Brassiere-Wearing and Possibility to Simulate Them Based on Body Shape

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4694))

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Abstract

The objective of this paper is to find the inherent factors in feelings while wearing a brassiere and to consider the possibility to simulate or to predict them based on naked breast shape. For this purpose, first we conducted an experiment in which 37 Japanese women were 3D measured in naked and brassiere-wearing postures and responded to a 5-grade SD evaluation questionnaire with 13 items about feelings in a brassiere. They tried three types of brassieres; a full-cup, a 3/4-cup and a half-cup brassiere. The factor analysis revealed three factors in wearing feelings; discomfort with a wire under the bust, pressure sensation and fittedness sensation. Then the factor scores and evaluation scores were examined whether they could be predicted using breast shape data extracted from the 3D body shape models of the subjects without a brassiere and from their simulated brassiere-wearing body shape. The genetic algorithm was adopted to search the best predicting multi-regression function of control point coordinate values of the model. Searched functions were assessed according to their coefficients of correlation between the function values and those to be predicted. The final results showed that feelings about two evaluation items related to fittedness sensation could be simulated with a correlation coefficient of 0.6 to 0.8.

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References

  1. Choi, D., Kurokawa, T.: A study on kansei of Japanese and South Korean women regarding brassieres. In: Proc. 6th Asian Design International Conference, 488, CD-ROM (2003)

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Bruno Apolloni Robert J. Howlett Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Choi, DE. (2007). An Analysis of Feelings of Brassiere-Wearing and Possibility to Simulate Them Based on Body Shape. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_42

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  • DOI: https://doi.org/10.1007/978-3-540-74829-8_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74828-1

  • Online ISBN: 978-3-540-74829-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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