TY - GEN
T1 - Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home
AU - Wang, Pin Chin
AU - Tseng, Wan Ting
AU - Cheng, Chun Min
AU - Sung, Yi Hsuan
AU - Chou, Yi Chun
AU - Wu, Fong-Gong
PY - 2013/8/1
Y1 - 2013/8/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84880744145&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880744145&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39191-0_67
DO - 10.1007/978-3-642-39191-0_67
M3 - Conference contribution
AN - SCOPUS:84880744145
SN - 9783642391903
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 624
EP - 633
BT - Universal Access in Human-Computer Interaction
T2 - 7th International Conference on Universal Access in Human-Computer Interaction: Design Methods, Tools, and Interaction Techniques for eInclusion, UAHCI 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013
Y2 - 21 July 2013 through 26 July 2013
ER -