Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home

Authors:
Pin-Chin Wang;Wan-Ting Tseng;Chun-Min Cheng;Yi-Hsuan Sung;Yi-Chun Chou;Fong-Gong Wu
Affiliations:
Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan;Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan;Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan;Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan;Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan;Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan
Venue:
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Year:
2013

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Abstract

In this study, we invented a new way which classifies objects according to their functions and the regions of use. Then we proceeded to innovate and design the systematic pattern on the objects. For this goal, we make the pattern on the objects as the goal of recognition that can be captured by camera. In this study we intend to design a new way to derive pattern reasonably and that can be recognized by algorithms. The result of our pattern recognition program test pattern that consisted of systematic components showed that the identification rate of success was more than 90%. This result indicated that our pattern design method can derive a significant pattern which is recognized by computer algorithms and can be effective in detecting the state of the object in using.