ArticleEcology and evolution2019
A comparison of techniques for classifying behavior from accelerometers for two species of seabird.
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Practical guidelines for validation of supervised machine learning models in accelerometer-based animal behaviour classification.The Journal of animal ecology · 2025Pooled it
- Understanding Sex-Specific Behavioral States of Bobcats in Response to Highway Proximity in South Texas.Ecology and evolution · 2026Article
- Refining Accelerometer-Based Animal Behaviour Classifications With Sequence-Informed Post-Processing.Ecology and evolution · 2026Article
- A call for minimum standards in methodological reporting for studies using animal-borne accelerometers.Animal biotelemetry · 2026Article
- Commuting in crosswinds and foraging in fast winds: the foraging ecology of a flying fish specialist.Proceedings. Biological sciences · 2025Article
- Fine-Scale Movement Data Reveal Primarily Surface Foraging and Nocturnal Flight Activity in the Endangered Bermuda Petrel.Ecology and evolution · 2025Article
- Using GPS and accelerometer data to precisely record egg laying, incubation and chick hatching of Cinereous Vultures (Biodiversity data journal · 2025Article
- Tracking the Ghosts of the Himalayas: Snow Leopard Conservation Insights From Satellite Collar Data.Ecology and evolution · 2025Article
- A benchmark for computational analysis of animal behavior, using animal-borne tags.Movement ecology · 2024Article
- Plunge-diving into dynamic body acceleration and energy expenditure in the Peruvian booby.The Journal of experimental biology · 2024Article
- Time-energy budgets outperform dynamic body acceleration in predicting daily energy expenditure in kittiwakes, and estimate a very low cost of gliding flight relative to flapping flight.The Journal of experimental biology · 2024Article
- African dryland antelope trade-off behaviours in response to heat extremes.Ecology and evolution · 2024Article
- Influence of sea ice concentration, sex and chick age on foraging flexibility and success in an Arctic seabird.Conservation physiology · 2024Article
- Unsupervised classification of Blanding's turtle (Emydoidea blandingii) behavioural states from multi-sensor biologger data.PloS one · 2024Article
- Supervised versus unsupervised approaches to classification of accelerometry data.Ecology and evolution · 2023Article
- A new biologging approach reveals unique flightless molt strategies of Atlantic puffins.Ecology and evolution · 2022Article
- The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets.Scientific reports · 2022Article
- Food supply and individual quality influence seabird energy expenditure and reproductive success.Oecologia · 2022Article
- An accelerometer-derived ballistocardiogram method for detecting heart rate in free-ranging marine mammals.The Journal of experimental biology · 2022Article
- Resting costs too: the relative importance of active and resting energy expenditure in a sub-arctic seabird.The Journal of experimental biology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The behavior of many wild animals remains a mystery, as it is difficult to quantify behavior of species that cannot be easily followed throughout their daily or seasonal movements. Accelerometers can solve some of these mysteries, as they collect activity data at a high temporal resolution (<1 s), can be relatively small (<1 g) so they minimally disrupt behavior, and are increasingly capable of recording data for long periods. Nonetheless, there is a need for increased validation of methods to classify animal behavior from accelerometers to promote widespread adoption of this technology in ecology. We assessed the accuracy of six different behavioral assignment methods for two species of seabird, thick-billed murres (
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