Animal Behavior and Welfare Studies
28 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.
2026
- Accelerometer-based detection of circadian rhythm disruption in sheep following shearing (opens in new tab)
- Behavior Classification of Cattle in a Virtual Fencing System Using Tri-Axial Accelerometers and Machine Learning (opens in new tab)
- Effects of stocking density on circadian patterns in locomotor activity, body temperature, and cardiac traits in ewe lambs (opens in new tab)
- Impact of water deprivation on broilers divergently selected for water efficiency (opens in new tab)
2025
- A comparison of short-term analgesic effects of xylazine alone or combined with levomethadone or ketamine in calves after hot-iron disbudding (opens in new tab)
- ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification (opens in new tab)
- Circadian rhythm of locomotor activity and body temperature in free-range laying hens as measured by triaxial accelerometers and subcutaneous biologgers (opens in new tab)
- Detecting Equine Gaits Through Rider-Worn Accelerometers (opens in new tab)
2024
- Classification of Behaviour in Conventional and Slow-Growing Strains of Broiler Chickens Using Tri-Axial Accelerometers (opens in new tab)
- Comparison of two tri-axial accelerometers for measuring locomotor activity in ewes and lambs (opens in new tab)
- Evaluating Rocket and Catch22 Features for Calf Behaviour Classification from Accelerometer Data Using Machine Learning Models (opens in new tab)
2023
- Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves (opens in new tab)
- Individual Monitoring of Activity and Lameness in Conventional and Slower-Growing Breeds of Broiler Chickens Using Accelerometers (opens in new tab)
- Time-Series-Based Feature Selection and Clustering for Equine Activity Recognition Using Accelerometers (opens in new tab)
2022
- A Case Study Using Accelerometers to Identify Illness in Ewes following Unintentional Exposure to Mold-Contaminated Feed (opens in new tab)
- Behavioral Fingerprinting: Acceleration Sensors for Identifying Changes in Livestock Health (opens in new tab)
- Dog's Behaviour Classification Based on Wearable Sensor Accelerometer Data (opens in new tab)
- Exploring the potential for on-animal sensors to detect adverse welfare events: A case study of detecting ewe behaviour prior to vaginal prolapse (opens in new tab)
2021
- A framework for energy-efficient equine activity recognition with leg accelerometers (opens in new tab)
- A Pilot Study Using Accelerometers to Characterise the Licking Behaviour of Penned Cattle at a Mineral Block Supplement (opens in new tab)
- PSII-16 Potential of sensor technology to detect changes in behavior related to health status of ewes following exposure to mold-contaminated feed (opens in new tab)
- PSXVI-19 Posture behavior and truck microclimate in a very long journey of unweaned dairy beef calves: A field study (opens in new tab)
2020
2019
Localization and accelerometer sensors for the detection of oestrus in dairy cattle
2018
2017
On-animal motion sensing using accelerometers as a tool for monitoring sheep behaviour and health status