PIKAR: A Pixel-Level Image Kansei Analysis and Recognition System Based on Deep Learning for User-Centered Product Design

Author:

Gong Yun,Wang Bingcheng,Rau Pei-Luen Patrick

Publisher

Springer International Publishing

Reference21 articles.

1. Nagamachi, M.: Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int. J. Ind. Ergon. 15, 3–11 (1995)

2. Matsubara, Y., Nagamachi, M.: Hybrid Kansei engineering system and design support. Int. J. Ind. Ergon. 19, 81–92 (1997)

3. Tsuchiya, T., Ishihara, S., Matsubara, Y., Nishino, T., Nagamachi, M.: A method for learning decision tree using genetic algorithm and its application to Kansei engineering system. In: IEEE SMC 1999 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No. 99CH37028), pp. 279–283. IEEE (1999)

4. Nagamachi, M., Tachikawa, M., Imanishi, N., Ishizawa, T., Yano, S.: A successful statistical procedure on kansei engineering products. In: 11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability from Organizational Excellence to SustainAble Excellence, Helsingborg, Sweden, 20–22 August 2008, pp. 987–995. Linköping University Electronic Press (2008)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);J-S Chen,2008

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