Spatiotemporal understanding of behaviors of laying hens using wearable inertial sensors.

ABSTRACT: Automatic detection of behaviors and locations has been increasingly needed in the management of noncage systems where hen behaviors are highly diverse and active. Here we show a technology to spatiotemporally understand behaviors using a wearable inertial sensor, containing a 3-axis accelerometer and 3-axis angular velocity sensor (i.e., gyroscope), and a marker. Using supervised machine learning, we first developed a tool that automatically classified and counted 11 behaviors, including comfort behaviors such as head scratching and tail-wagging with small movements as well as dust-bathing with dynamic movements. As expected, these behaviors were observed more frequently in floor pens than in conventional cages (all P < 0.01). We also spatially mapped the behaviors in floor pens and visua

SUBMITTER: Shimmura T 

PROVIDER: S-EPMC11532477 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature