Título:
Wearable device to monitor sheep behavior.
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Autor:
Campiotti, María Victoria
Finozzi, Nicolás Eduardo
Irazoqui, Juan Diego
Cabrera, Varinia
Ungerfeld, Rodolfo
Oreggioni, Julián
Finozzi, Nicolás Eduardo
Irazoqui, Juan Diego
Cabrera, Varinia
Ungerfeld, Rodolfo
Oreggioni, Julián
Tutor:
Tipo de documento:
Preprint
Editor:
Palabras clave:
Accelerometers
Microcontrollers
Global navigation satellite system
Modems
Behavioral sciences
Animals
TCPIP
Accelerometer signal processing
Animal behavior
Low power embedded application
Sistemas embebidos
Bajo consumo
Procesamiento de señales
Acelerómetro
Comportamiento animal
Microcontrollers
Global navigation satellite system
Modems
Behavioral sciences
Animals
TCPIP
Accelerometer signal processing
Animal behavior
Low power embedded application
Sistemas embebidos
Bajo consumo
Procesamiento de señales
Acelerómetro
Comportamiento animal
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Año de publicación:
2023
Contenido:
Resumen:
Monitoring sheep activity can be crucial for improving productivity and animal welfare. This work presents the design, manufacture, and test of a collar-type device to monitor sheep behavior. The device consists of an MSP-EXP432P401R microcontroller from Texas Instruments, a Bosch Sensortec´s BMI160 3-axis accelerometer, and a narrowband-IoT BG96 modem from Quectel that includes a global positioning system. The device has two operating modes: 1) validation mode (VM) to test and validate algorithms for characterizing sheep activity and 2) research mode (RM) to support multiday animal experiments to study their behavior. In VM, it sends accelerometer data, the animal?s state (run, walk, stand, or head down), and the location to the Central System every 20 s. VM has an autonomy of 51 h. In RM, the device transmits the animal?s state and the location every 2 or more minutes to extend the autonomy to more than ten days. The microcontroller identifies the sheep?s states (every 5 s) using real-time accelerometer data processed with an algorithm based on the linear discriminant analysis method. We trained a classifier on a PC using a public dataset, and then we ported it to the microcontroller. Preliminary tests show that the sheep?s state identification has a prediction success rate of 88%, opening exciting possibilities for developing an applicable device.
Descripción:
Los procedimientos experimentales con animales descritos en este artículo fueron aprobados por el Comité de Ética, Facultad de Veterinaria, UdelaR.
Trabajo presentado a IEEE Embedded Systems Letters, vol. 15, no 2, jun 2023, pp. 89-92
Trabajo presentado a IEEE Embedded Systems Letters, vol. 15, no 2, jun 2023, pp. 89-92
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Financiadores:
Este trabajo ha sido parcialmente financiado por el CSIC y el CAP, ambos de la Universidad de la República, Uruguay (UdelaR)
Citación:
Campiotti, M., Finozzi, N., Irazoqui, J. y otros. Wearable device to monitor sheep behavior [Preprint]. Publicado en: IEEE Embedded Systems Letters. 2023 vol. 15, no. 2, pp. 89-92. DOI: 10.1109/LES.2022.3190305
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Cobertura geográfica:
Uruguay
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Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| CFICUO23.PDF | Preprint | 1.05 MB | Adobe PDF |