Machine Perception for Identification and Interaction in the Internet of Things

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

The most significant step from the Internet towards the Internet of Things (IoT) is to embrace a vast amount of objects in the global system. This first presents a nontrivial challenge to identification due to the limited applicability of Internet Protocol (IP) to these objects. They are therefore identified either via the augmentation of tiny devices such as radio frequency identification (RFID) or via natural feature identification where machine perception is indispensable. Secondly, the value of the IoT consists in the object-object and object-human interaction. Such interaction is considerably different from traditional human-computer interaction because of the large variety of objects and their surroundings. This paper presents the application of machine perception in both identification and interaction, which again are useful in finding information shadows that physical objects cast in the digital world.
Original languageEnglish
JournalProceedings of the Wireless Personal Multimedia Communications Symposia
Pages (from-to)S21-3
Number of pages4
ISSN1347-6890
Publication statusPublished - 2010
Event13th International Symposium on Wireless Personal Multimedia Communications - WPMC2010 - Recife, Brazil
Duration: 11 Oct 201014 Oct 2010
Conference number: 13

Conference

Conference13th International Symposium on Wireless Personal Multimedia Communications - WPMC2010
Number13
CountryBrazil
CityRecife
Period11/10/201014/10/2010

Fingerprint

Internet protocols
Human computer interaction
Radio frequency identification (RFID)
Internet
Internet of things

Cite this

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title = "Machine Perception for Identification and Interaction in the Internet of Things",
abstract = "The most significant step from the Internet towards the Internet of Things (IoT) is to embrace a vast amount of objects in the global system. This first presents a nontrivial challenge to identification due to the limited applicability of Internet Protocol (IP) to these objects. They are therefore identified either via the augmentation of tiny devices such as radio frequency identification (RFID) or via natural feature identification where machine perception is indispensable. Secondly, the value of the IoT consists in the object-object and object-human interaction. Such interaction is considerably different from traditional human-computer interaction because of the large variety of objects and their surroundings. This paper presents the application of machine perception in both identification and interaction, which again are useful in finding information shadows that physical objects cast in the digital world.",
author = "Zheng-Hua Tan",
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publisher = "Causal Productions",

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Machine Perception for Identification and Interaction in the Internet of Things. / Tan, Zheng-Hua.

In: Proceedings of the Wireless Personal Multimedia Communications Symposia, 2010, p. S21-3.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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N2 - The most significant step from the Internet towards the Internet of Things (IoT) is to embrace a vast amount of objects in the global system. This first presents a nontrivial challenge to identification due to the limited applicability of Internet Protocol (IP) to these objects. They are therefore identified either via the augmentation of tiny devices such as radio frequency identification (RFID) or via natural feature identification where machine perception is indispensable. Secondly, the value of the IoT consists in the object-object and object-human interaction. Such interaction is considerably different from traditional human-computer interaction because of the large variety of objects and their surroundings. This paper presents the application of machine perception in both identification and interaction, which again are useful in finding information shadows that physical objects cast in the digital world.

AB - The most significant step from the Internet towards the Internet of Things (IoT) is to embrace a vast amount of objects in the global system. This first presents a nontrivial challenge to identification due to the limited applicability of Internet Protocol (IP) to these objects. They are therefore identified either via the augmentation of tiny devices such as radio frequency identification (RFID) or via natural feature identification where machine perception is indispensable. Secondly, the value of the IoT consists in the object-object and object-human interaction. Such interaction is considerably different from traditional human-computer interaction because of the large variety of objects and their surroundings. This paper presents the application of machine perception in both identification and interaction, which again are useful in finding information shadows that physical objects cast in the digital world.

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