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Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 3 (2019)

DOI
10.11591/ijece.v9i3.pp1656-1662
ISSN
2088-8708, 2088-8708
Published
2019-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Cow’s behavior classification helps people to monitor cow activities, thus the health and physiological periods of cows can be well tracked. To classify the behavior of cows, the data from the 3-axis acceleration sensor mounted on their neck is often used. Data acquisition and preprocessing of sensor data is required in this device. We acquire data from the 3-axis acceleration sensor mounted on the cows’neck and send to the microcontrollter. At the microcontroller, a proposed decision tree is applied in real-time manner to classify four important activities of the cows (standing, lying, feeding, and walking). Finally, the results can be sent to the server through the wireless transmission module. The test results confirm the reliability of the proposed device.

Collaboration network of the authors

17 authors · 56 co-authorship links · 28 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Trường ĐH Nguyễn Tất Thành
  • Vietnam Academy of Science and Technology
  • Thai Nguyen University of Information and Communication Technology
  • Thuyloi University
  • Phenikaa University
  • VNU University of Engineering and Technology
  • Nam Dinh University of Nursing
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Gian Quoc AnhNam Dinh University of Nursing4
Kumbesan Sandy SandrasegaranUniversity of Technology Sydney4
Duc–Tan TranPhenikaa University3
Quoc-Anh GianAffiliation unknown2
Dinh-Chinh NguyenVNU University of Engineering and Technology2
Le Anh NgocElectric Power University1
Thi Thu NguyenHanoi University of Industry1
Phuc Thinh DoanTrường ĐH Nguyễn Tất Thành1
Kolla Bhanu PrakashKoneru Lakshmaiah Education Foundation1
Subrata ChowdhuryAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements</dc:title><dc:creator>Phi Khanh, Phung Cong</dc:creator><dc:creator>Nguyen, Kieu Thi</dc:creator><dc:creator>Dinh-Chinh, Nguyen</dc:creator><dc:creator>Duc-Nghia, Tran</dc:creator><dc:creator>Trung, Hoang Quang</dc:creator><dc:creator>Thang, Nguyen Van</dc:creator><dc:creator>Duc-Tan, Tran</dc:creator><dc:description>&lt;jats:p&gt;Cow’s behavior classification helps people to monitor cow activities, thus the health and physiological periods of cows can be well tracked. To classify the behavior of cows, the data from the 3-axis acceleration sensor mounted on their neck is often used. Data acquisition and preprocessing of sensor data is required in this device. We acquire data from the 3-axis acceleration sensor mounted on the cows’neck and send to the microcontrollter. At the microcontroller, a proposed decision tree is applied in real-time manner to classify four important activities of the cows (standing, lying, feeding, and walking). Finally, the results can be sent to the server through the wireless transmission module. The test results confirm the reliability of the proposed device.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i3.pp1656-1662</dc:identifier><dc:identifier>10.11591/ijece.v9i3.pp1656-1662</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 3 (2019); 1656</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/14737/11990</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>