A novel recognition system for digits writing in the air using coordinated path ordering

Chiang Wang; Chung Yen Su; Chun Lin Lin

doi:10.1109/ICIIBMS.2015.7439500

A novel recognition system for digits writing in the air using coordinated path ordering

Chiang Wang^*, Chung Yen Su, Chun Lin Lin

^*此作品的通信作者

電機工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章

5 引文斯高帕斯（Scopus）

摘要

With the invention of Microsoft Kinect sensor, human-computer interaction is gaining its attention and becoming available for widespread use. The previous study presented a method of Kinect-based mid-air handwritten digit recognition for Android smart phones with a recognition accuracy of only about 94.6%. In this paper, we propose an improved method based on the normalizing and scaling of path order coordinates. With that, the proposed method leads to accuracy elevation and executing time reduction. Experimental results show an average recognition accuracy rate of 96.8% was achieved for each number.

原文	英語
主出版物標題	ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	244-249
頁數	6
ISBN（電子）	9781479985623
DOIs	https://doi.org/10.1109/ICIIBMS.2015.7439500
出版狀態	已發佈 - 2016 3月 22
事件	International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 - Okinawa, 日本持續時間: 2015 11月 28 → 2015 11月 30

出版系列

名字	ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences

其他

其他	International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015
國家/地區	日本
城市	Okinawa
期間	2015/11/28 → 2015/11/30

ASJC Scopus subject areas

訊號處理
健康資訊學
生物技術
人工智慧

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1109/ICIIBMS.2015.7439500

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引用此

Wang, C., Su, C. Y., & Lin, C. L. (2016). A novel recognition system for digits writing in the air using coordinated path ordering. 於 ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences (頁 244-249). 文章 7439500 (ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIIBMS.2015.7439500

A novel recognition system for digits writing in the air using coordinated path ordering. / Wang, Chiang; Su, Chung Yen; Lin, Chun Lin.
ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc., 2016. p. 244-249 7439500 (ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Wang, C, Su, CY & Lin, CL 2016, A novel recognition system for digits writing in the air using coordinated path ordering. 於 ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences., 7439500, ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences, Institute of Electrical and Electronics Engineers Inc., 頁 244-249, International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015, Okinawa, 日本, 2015/11/28. https://doi.org/10.1109/ICIIBMS.2015.7439500

Wang C, Su CY, Lin CL. A novel recognition system for digits writing in the air using coordinated path ordering. 於 ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc. 2016. p. 244-249. 7439500. (ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences). doi: 10.1109/ICIIBMS.2015.7439500

Wang, Chiang ; Su, Chung Yen ; Lin, Chun Lin. / A novel recognition system for digits writing in the air using coordinated path ordering. ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc., 2016. 頁 244-249 (ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences).

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title = "A novel recognition system for digits writing in the air using coordinated path ordering",

abstract = "With the invention of Microsoft Kinect sensor, human-computer interaction is gaining its attention and becoming available for widespread use. The previous study presented a method of Kinect-based mid-air handwritten digit recognition for Android smart phones with a recognition accuracy of only about 94.6%. In this paper, we propose an improved method based on the normalizing and scaling of path order coordinates. With that, the proposed method leads to accuracy elevation and executing time reduction. Experimental results show an average recognition accuracy rate of 96.8% was achieved for each number.",

keywords = "Kinect sensor, accuracy rate, handwritten digit recognition, human-computer interaction, support vector machine",

author = "Chiang Wang and Su, {Chung Yen} and Lin, {Chun Lin}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 ; Conference date: 28-11-2015 Through 30-11-2015",

year = "2016",

month = mar,

day = "22",

doi = "10.1109/ICIIBMS.2015.7439500",

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series = "ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences",

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AU - Su, Chung Yen

AU - Lin, Chun Lin

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N2 - With the invention of Microsoft Kinect sensor, human-computer interaction is gaining its attention and becoming available for widespread use. The previous study presented a method of Kinect-based mid-air handwritten digit recognition for Android smart phones with a recognition accuracy of only about 94.6%. In this paper, we propose an improved method based on the normalizing and scaling of path order coordinates. With that, the proposed method leads to accuracy elevation and executing time reduction. Experimental results show an average recognition accuracy rate of 96.8% was achieved for each number.

AB - With the invention of Microsoft Kinect sensor, human-computer interaction is gaining its attention and becoming available for widespread use. The previous study presented a method of Kinect-based mid-air handwritten digit recognition for Android smart phones with a recognition accuracy of only about 94.6%. In this paper, we propose an improved method based on the normalizing and scaling of path order coordinates. With that, the proposed method leads to accuracy elevation and executing time reduction. Experimental results show an average recognition accuracy rate of 96.8% was achieved for each number.

KW - Kinect sensor

KW - accuracy rate

KW - handwritten digit recognition

KW - human-computer interaction

KW - support vector machine

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BT - ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences

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ER -

A novel recognition system for digits writing in the air using coordinated path ordering

摘要

出版系列

其他

ASJC Scopus subject areas

UN SDG

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