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Researcher
Anniek Eerdekens
Profile
Projects
Publications
Activities
Awards & Distinctions
9
Results
2024
Automatic early detection of induced colic in horses using accelerometer devices
Anniek Eerdekens
Marion Papas
Bert Damiaans
Luc Martens
Jan Govaere
Wout Joseph
Margot Deruyck
U
Journal Article
in
Equine Veterinary Journal
2024
2023
Time-series-based feature selection and clustering for equine activity recognition using accelerometers
Timo De Waele
Adnan Shahid
Daniel Peralta Cámara
Anniek Eerdekens
Margot Deruyck
Frank Tuyttens
Eli De Poorter
A1
Journal Article
in
IEEE SENSORS JOURNAL
2023
2022
Dog's behaviour classification based on wearable sensor accelerometer data
Anniek Eerdekens
Arne Callaert
Margot Deruyck
Luc Martens
Wout Joseph
C1
Conference
2022
2021
A framework for energy-efficient equine activity recognition with leg accelerometers
Anniek Eerdekens
Margot Deruyck
Jaron Fontaine
Luc Martens
Eli De Poorter
David Plets
Wout Joseph
A1
Journal Article
in
COMPUTERS AND ELECTRONICS IN AGRICULTURE
2021
Horse jumping and dressage training activity detection using accelerometer data
Anniek Eerdekens
Margot Deruyck
Jaron Fontaine
Bert Damiaans
Luc Martens
Eli De Poorter
Jan Govaere
David Plets
Wout Joseph
A1
Journal Article
in
ANIMALS
2021
Internet of animals : unsupervised foaling detection based on accelerometer data
Timo De Waele
Jaron Fontaine
Anniek Eerdekens
Margot Deruyck
Jan Govaere
Wout Joseph
Adnan Shahid
Eli De Poorter
C1
Conference
2021
2020
Automatic equine activity detection by convolutional neural networks using accelerometer data
Anniek Eerdekens
Margot Deruyck
Jaron Fontaine
Luc Martens
Eli De Poorter
Wout Joseph
A1
Journal Article
in
COMPUTERS AND ELECTRONICS IN AGRICULTURE
2020
Feasibility of wireless horse monitoring using a kinetic energy harvester model
Ben Van Herbruggen
Jaron Fontaine
Anniek Eerdekens
Margot Deruyck
Wout Joseph
Eli De Poorter
A1
Journal Article
in
ELECTRONICS
2020
Resampling and data augmentation for equines' behaviour classification based on wearable sensor accelerometer data using a convolutional neural network
Anniek Eerdekens
Margot Deruyck
Jaron Fontaine
Luc Martens
Eli De Poorter
David Plets
Wout Joseph
C1
Conference
2020