Monitoring cow behavior parameters based on received signal strength using wireless sensor networks

E. S. Nadimi; H. T. Søgaard; F. W. Oudshoorn; V. Blanes-Vidal; T. Bak

Monitoring cow behavior parameters based on received signal strength using wireless sensor networks

E. S. Nadimi^*, H. T. Søgaard, F. W. Oudshoorn, V. Blanes-Vidal, T. Bak

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

5 Citations (Scopus)

Abstract

The pitch angle of the neck of the cow using a 2-axis accelerometer has been measured and the movement velocity was estimated using received signal strength, both in a wireless sensor network. Classification based on activity (grazing, looking for the grass) and inactivity (lying down, standing) has been successfully accomplished. The results have been confirmed by manual registration and by GPS measurements.

Original language	English
Title of host publication	Precision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming
Number of pages	9
Publication date	1 Dec 2007
Pages	95-103
ISBN (Print)	9789086860234
Publication status	Published - 1 Dec 2007
Event	3rd European Conference on Precision Livestock Farming, ECPLF 2007 - Skiathos, Greece Duration: 3 Jun 2007 → 6 Jun 2007

Conference

Conference	3rd European Conference on Precision Livestock Farming, ECPLF 2007
Country/Territory	Greece
City	Skiathos
Period	03/06/2007 → 06/06/2007

Keywords

Behavior classification
Kalman filter
Moving window
Received signal strength
Wireless sensor networks

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@inproceedings{6a90e692e46445cc8253f3a70345f57d,

title = "Monitoring cow behavior parameters based on received signal strength using wireless sensor networks",

abstract = "The pitch angle of the neck of the cow using a 2-axis accelerometer has been measured and the movement velocity was estimated using received signal strength, both in a wireless sensor network. Classification based on activity (grazing, looking for the grass) and inactivity (lying down, standing) has been successfully accomplished. The results have been confirmed by manual registration and by GPS measurements.",

keywords = "Behavior classification, Kalman filter, Moving window, Received signal strength, Wireless sensor networks",

author = "Nadimi, {E. S.} and S{\o}gaard, {H. T.} and Oudshoorn, {F. W.} and V. Blanes-Vidal and T. Bak",

year = "2007",

month = dec,

day = "1",

language = "English",

isbn = "9789086860234",

pages = "95--103",

booktitle = "Precision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming",

note = "3rd European Conference on Precision Livestock Farming, ECPLF 2007 ; Conference date: 03-06-2007 Through 06-06-2007",

}

Nadimi, ES, Søgaard, HT, Oudshoorn, FW, Blanes-Vidal, V & Bak, T 2007, Monitoring cow behavior parameters based on received signal strength using wireless sensor networks. in Precision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming. pp. 95-103, 3rd European Conference on Precision Livestock Farming, ECPLF 2007, Skiathos, Greece, 03/06/2007.

Monitoring cow behavior parameters based on received signal strength using wireless sensor networks. / Nadimi, E. S.; Søgaard, H. T.; Oudshoorn, F. W. et al.
Precision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming. 2007. p. 95-103.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Monitoring cow behavior parameters based on received signal strength using wireless sensor networks

AU - Nadimi, E. S.

AU - Søgaard, H. T.

AU - Oudshoorn, F. W.

AU - Blanes-Vidal, V.

AU - Bak, T.

PY - 2007/12/1

Y1 - 2007/12/1

N2 - The pitch angle of the neck of the cow using a 2-axis accelerometer has been measured and the movement velocity was estimated using received signal strength, both in a wireless sensor network. Classification based on activity (grazing, looking for the grass) and inactivity (lying down, standing) has been successfully accomplished. The results have been confirmed by manual registration and by GPS measurements.

AB - The pitch angle of the neck of the cow using a 2-axis accelerometer has been measured and the movement velocity was estimated using received signal strength, both in a wireless sensor network. Classification based on activity (grazing, looking for the grass) and inactivity (lying down, standing) has been successfully accomplished. The results have been confirmed by manual registration and by GPS measurements.

KW - Behavior classification

KW - Kalman filter

KW - Moving window

KW - Received signal strength

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=38949196287&partnerID=8YFLogxK

M3 - Article in proceeding

AN - SCOPUS:38949196287

SN - 9789086860234

SP - 95

EP - 103

BT - Precision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming

T2 - 3rd European Conference on Precision Livestock Farming, ECPLF 2007

Y2 - 3 June 2007 through 6 June 2007

ER -

Monitoring cow behavior parameters based on received signal strength using wireless sensor networks

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Keywords

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