Area-specific vocalisation and activity monitoring in pigs

Vocalisations and activity are important factors for monitoring animal behaviour. Previous studies have shown that these parameters are altered in the context of disease, farrowing and distress. In the highly standardized conditions of livestock farming, these contexts are often closely linked to specific areas of the barn – allowing information about specific animal states to be inferred from these rather unspecific parameters. We have developed a sensor that uses acoustic beamforming and radar to measure vocalisations and activity in defined areas. The sensor was tested in two settings. Firstly, recently weaned piglets were socially isolated with unrestricted sensory contact for up to 20 minutes. During this comparatively mild distress, stress vocalisations could be detected with 63 % sensitivity, 97 % specificity, and 79 % balanced normalized precision. Secondly, data recorded in the context of farrowing demonstrated that the sensor is able to distinguish between movement and vocalisation events in adjacent pens. To quantify the sensor’s spatial differentiation, we compared an empty and an adjacent occupied farrowing pen over the time of birth, using Receiver Operating Characteristics curve (ROC). The ROC curves for discriminating the activity in the pens reached an area under the curve (AUC) of 0.87 to 0.95, whereby 0.5 would be the worst and 1.0 the best performance. The ROC curves for discriminating sources of stress events reached an AUC of 0.86 to 0.96. Furthermore, this technology is currently being adapted for applications in other farm animal species.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-12
DOI
https://doi.org/10.5281/zenodo.18549284
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Area-specific vocalisation and activity monitoring in pigs

Beryl Eusemann, Liza R. Moscovice, Christian Manteuffel, Birger Puppe et al.
Zenodo (CERN European Organization for Nuclear Research)
Animal Behavior and Welfare Studies
article

Area-specific vocalisation and activity monitoring in pigs

Beryl Eusemann, Liza R. Moscovice, Christian Manteuffel, Birger Puppe, Nick Westendorff
article en

Abstract

Vocalisations and activity are important factors for monitoring animal behaviour. Previous studies have shown that these parameters are altered in the context of disease, farrowing and distress. In the highly standardized conditions of livestock farming, these contexts are often closely linked to specific areas of the barn – allowing information about specific animal states to be inferred from these rather unspecific parameters. We have developed a sensor that uses acoustic beamforming and radar to measure vocalisations and activity in defined areas. The sensor was tested in two settings. Firstly, recently weaned piglets were socially isolated with unrestricted sensory contact for up to 20 minutes. During this comparatively mild distress, stress vocalisations could be detected with 63 % sensitivity, 97 % specificity, and 79 % balanced normalized precision. Secondly, data recorded in the context of farrowing demonstrated that the sensor is able to distinguish between movement and vocalisation events in adjacent pens. To quantify the sensor’s spatial differentiation, we compared an empty and an adjacent occupied farrowing pen over the time of birth, using Receiver Operating Characteristics curve (ROC). The ROC curves for discriminating the activity in the pens reached an area under the curve (AUC) of 0.87 to 0.95, whereby 0.5 would be the worst and 1.0 the best performance. The ROC curves for discriminating sources of stress events reached an AUC of 0.86 to 0.96. Furthermore, this technology is currently being adapted for applications in other farm animal species.

Zenodo (CERN European Organization for Nuclear Research)
Research Institute for Farm Animal Biology (FBN) (DE), University of Rostock (DE)
Reduced inequalities
Openalex Percentile: Top 37%
Animal Behavior and Welfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Area-specific vocalisation and activity monitoring in pigs — Beryl Eusemann, Liza R. Moscovice, et al. · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS