Dong Y, Bonde A, Codling JR, Bannis A, Cao J, Macon A, et al. PigSense: Structural Vibration-based Activity and Health Monitoring System for Pigs. ACM Transactions on Sensor Networks. 2023;20(1):1-43. https://doi.org/10.1145/3604806
Summary: This study presents PigSense, the first system to use structural vibrations for tracking pig behaviors and monitoring swine health. The system detects activities such as nursing, sleeping, and movement through vibration-induced load changes in farrowing pens. Designed to endure harsh farm conditions, PigSense demonstrated high accuracy in monitoring sow posture (97.8%), motion (94%), and predicting piglet activities like nursing (87.7%), sleeping (89.4%), and activity levels (81.9%). It also tracks farrowing stages and predicts piglet weight gain during lactation with 89% accuracy, offering valuable insights for early health interventions.
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