Love thy neighbour: automatic animal behavioural classification of acceleration data using the K-nearest neighbour algorithm (Q30768588)

14 October 2017

Love thy neighbour: automatic animal behavioural classification of acceleration data using the K-nearest neighbour algorithm (English)

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nearest neighbour algorithm

14 October 2017

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Flavio Quintana

8

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author name string

Owen R Bidder

1

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14 October 2017

Hamish A Campbell

2

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14 October 2017

Agustina Gómez-Laich

3

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14 October 2017

Patricia Urgé

4

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14 October 2017

James Walker

5

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14 October 2017

Yuzhi Cai

6

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14 October 2017

Lianli Gao

7

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14 October 2017

Rory P Wilson

9

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14 October 2017

language of work or name

English

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publication date

21 February 2014

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14 October 2017

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14 October 2017

9

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14 October 2017

2

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14 October 2017

e88609

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Creative Commons Attribution 4.0 International

14 October 2017

start time

21 February 2014

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

Creating a behavioural classification module for acceleration data: using a captive surrogate for difficult to observe species

1 reference

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Locomotion dynamics of hunting in wild cheetahs

20 June 2018

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On higher ground: how well can dynamic body acceleration determine speed in variable terrain?

20 June 2018

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Tri-axial dynamic acceleration as a proxy for animal energy expenditure; should we be summing values or calculating the vector?

20 June 2018

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Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures

20 June 2018

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Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges

20 June 2018

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Measuring energetics and behaviour using accelerometry in cane toads Bufo marinus

20 June 2018

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Improving propensity score weighting using machine learning

20 June 2018

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Can ethograms be automatically generated using body acceleration data from free-ranging birds?

20 June 2018

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An emerging movement ecology paradigm

20 June 2018

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Biotelemetry: a mechanistic approach to ecology.

20 June 2018

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The technology of accelerometry-based activity monitors: current and future

20 June 2018

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Precise monitoring of porpoising behaviour of Adélie penguins determined using acceleration data loggers

20 June 2018

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The relationship between oxygen consumption and body acceleration in a range of species.

20 June 2018

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The need for speed: testing acceleration for estimating animal travel rates in terrestrial dead-reckoning systems.

21 January 2018

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Moving towards acceleration for estimates of activity-specific metabolic rate in free-living animals: the case of the cormorant.

21 January 2018

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Nearest neighbor pattern classification

21 January 2018

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Selecting and interpreting measures of thematic classification accuracy

21 January 2018

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Slowness and acceleration: a new method to quantify the activity budget of chelonians

21 January 2018

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Use of a tri-axial accelerometer for automated recording and classification of goats’ grazing behaviour

21 January 2018

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Acceleration versus heart rate for estimating energy expenditure and speed during locomotion in animals: Tests with an easy model species, Homo sapiens

21 January 2018

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Making overall dynamic body acceleration work: on the theory of acceleration as a proxy for energy expenditure

21 January 2018

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Prying into the intimate details of animal lives: use of a daily diary on animals

21 January 2018

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Identification of imperial cormorant Phalacrocorax atriceps behaviour using accelerometers

21 January 2018

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Identification of animal movement patterns using tri-axial accelerometry

21 January 2018

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Classification of physical activities based on sparse representation.

21 January 2018

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A new technique for monitoring the behaviour of free-ranging Adélie penguins

25 November 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24586354

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1371/JOURNAL.PONE.0088609

1 reference

14 October 2017

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1 reference

14 October 2017

PubMed publication ID

24586354

1 reference