Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration

Yi Lin; Yue Liu

doi:10.1007/978-3-642-23456-9_21

Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration

Yi Lin^*, Yue Liu

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

In this article, a new method used for birds' recognition under the condition of Human-machine Collaboration is proposed. By the combination of this method and network interaction, a new model of effective Mobile Learning is built. This system uses mobile Internet technology to collect data. Through the steps of recognition, classification and process to the data, Web Server provides online services in the form of Data Reports and Streaming Media. With the sorted images and surveillance video, people completed the finally recognition work. Meanwhile, they can experience the convenience of Mobile Learning. The proposed system has solved the problem about accuracy and efficiency in the field of bird recognition. Moreover, the system has evolved a Mobile learning new model which provides a better taste of mobile interaction.

Original language	English
Title of host publication	Edutainment Technologies
Subtitle of host publication	Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings
Pages	115-122
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-23456-9_21
Publication status	Published - 2011
Event	6th International Conference on E-Learning and Games, Edutainment 2011 - Taipei, Taiwan, Province of China Duration: 7 Sept 2011 → 9 Sept 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6872 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on E-Learning and Games, Edutainment 2011
Country/Territory	Taiwan, Province of China
City	Taipei
Period	7/09/11 → 9/09/11

Keywords

Bird Recognition
Human-machine Collaboration
Mobile Learning

Access to Document

10.1007/978-3-642-23456-9_21

Cite this

Lin, Y., & Liu, Y. (2011). Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration. In Edutainment Technologies: Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings (pp. 115-122). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6872 LNCS). https://doi.org/10.1007/978-3-642-23456-9_21

Lin, Yi ; Liu, Yue. / Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration. Edutainment Technologies: Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings. 2011. pp. 115-122 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration",

abstract = "In this article, a new method used for birds' recognition under the condition of Human-machine Collaboration is proposed. By the combination of this method and network interaction, a new model of effective Mobile Learning is built. This system uses mobile Internet technology to collect data. Through the steps of recognition, classification and process to the data, Web Server provides online services in the form of Data Reports and Streaming Media. With the sorted images and surveillance video, people completed the finally recognition work. Meanwhile, they can experience the convenience of Mobile Learning. The proposed system has solved the problem about accuracy and efficiency in the field of bird recognition. Moreover, the system has evolved a Mobile learning new model which provides a better taste of mobile interaction.",

keywords = "Bird Recognition, Human-machine Collaboration, Mobile Learning",

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Lin, Y & Liu, Y 2011, Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration. in Edutainment Technologies: Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6872 LNCS, pp. 115-122, 6th International Conference on E-Learning and Games, Edutainment 2011, Taipei, Taiwan, Province of China, 7/09/11. https://doi.org/10.1007/978-3-642-23456-9_21

Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration. / Lin, Yi; Liu, Yue.
Edutainment Technologies: Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings. 2011. p. 115-122 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6872 LNCS).

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

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AU - Lin, Yi

AU - Liu, Yue

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N2 - In this article, a new method used for birds' recognition under the condition of Human-machine Collaboration is proposed. By the combination of this method and network interaction, a new model of effective Mobile Learning is built. This system uses mobile Internet technology to collect data. Through the steps of recognition, classification and process to the data, Web Server provides online services in the form of Data Reports and Streaming Media. With the sorted images and surveillance video, people completed the finally recognition work. Meanwhile, they can experience the convenience of Mobile Learning. The proposed system has solved the problem about accuracy and efficiency in the field of bird recognition. Moreover, the system has evolved a Mobile learning new model which provides a better taste of mobile interaction.

AB - In this article, a new method used for birds' recognition under the condition of Human-machine Collaboration is proposed. By the combination of this method and network interaction, a new model of effective Mobile Learning is built. This system uses mobile Internet technology to collect data. Through the steps of recognition, classification and process to the data, Web Server provides online services in the form of Data Reports and Streaming Media. With the sorted images and surveillance video, people completed the finally recognition work. Meanwhile, they can experience the convenience of Mobile Learning. The proposed system has solved the problem about accuracy and efficiency in the field of bird recognition. Moreover, the system has evolved a Mobile learning new model which provides a better taste of mobile interaction.

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KW - Human-machine Collaboration

KW - Mobile Learning

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Lin Y, Liu Y. Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration. In Edutainment Technologies: Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings. 2011. p. 115-122. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-23456-9_21

Research on recognition and mobile learning of birds base on network under the condition of human-machine collaboration

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Keywords

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