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

Pin Chin Wang; Wan Ting Tseng; Chun Min Cheng; Yi Hsuan Sung; Yi Chun Chou; Fong-Gong Wu

doi:10.1007/978-3-642-39191-0_67

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

Pin Chin Wang, Wan Ting Tseng, Chun Min Cheng, Yi Hsuan Sung, Yi Chun Chou, Fong-Gong Wu

Department of Industrial Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction
Subtitle of host publication	User and Context Diversity - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings
Pages	624-633
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-39191-0_67
Publication status	Published - 2013 Aug 1
Event	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 - Las Vegas, NV, United States Duration: 2013 Jul 21 → 2013 Jul 26

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8010 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	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
Country/Territory	United States
City	Las Vegas, NV
Period	13-07-21 → 13-07-26

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-39191-0_67

Cite this

Wang, P. C., Tseng, W. T., Cheng, C. M., Sung, Y. H., Chou, Y. C., & Wu, F.-G. (2013). Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home. In Universal Access in Human-Computer Interaction: User and Context Diversity - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings (PART 2 ed., pp. 624-633). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8010 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-39191-0_67

Wang, Pin Chin ; Tseng, Wan Ting ; Cheng, Chun Min et al. / Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home. Universal Access in Human-Computer Interaction: User and Context Diversity - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 2. ed. 2013. pp. 624-633 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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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.",

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Wang, PC, Tseng, WT, Cheng, CM, Sung, YH, Chou, YC & Wu, F-G 2013, Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home. in Universal Access in Human-Computer Interaction: User and Context Diversity - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8010 LNCS, pp. 624-633, 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, Las Vegas, NV, United States, 13-07-21. https://doi.org/10.1007/978-3-642-39191-0_67

Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home. / Wang, Pin Chin; Tseng, Wan Ting; Cheng, Chun Min et al.
Universal Access in Human-Computer Interaction: User and Context Diversity - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 2. ed. 2013. p. 624-633 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8010 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

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Wang PC, Tseng WT, Cheng CM, Sung YH, Chou YC, Wu FG. Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home. In Universal Access in Human-Computer Interaction: User and Context Diversity - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 2 ed. 2013. p. 624-633. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-39191-0_67

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

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