Hidden Markov models identify major movement modes in accelerometer and magnetometer data from four albatross species.

ABSTRACT:

Background

Inertial measurement units (IMUs) with high-resolution sensors such as accelerometers are now used extensively to study fine-scale behavior in a wide range of marine and terrestrial animals. Robust and practical methods are required for the computationally-demanding analysis of the resulting large datasets, particularly for automating classification routines that construct behavioral time series and time-activity budgets. Magnetometers are used increasingly to study behavior, but it is not clear how these sensors contribute to the accuracy of behavioral classification methods. Development of effective  classification methodology is key to understanding energetic and life-history implications of foraging and other behaviors.

Methods

We deployed accelerometers and m

SUBMITTER: Conners MG 

PROVIDER: S-EPMC7901071 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature