Classification of multiple cattle behavior patterns using a recurrent neural network with long short-term memory and inertial measurement units

Author:

Peng Yingqi,Kondo Naoshi,Fujiura Tateshi,Suzuki TetsuhitoORCID,Wulandari ,Yoshioka Hidetsugu,Itoyama Erina

Funder

JSPS KAKENHI

Ministry of Education, Culture, Sports, Science and Technology

China Scholarships Council

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference17 articles.

1. Development of an open-source algorithm based on inertial measurement units (IMU) of a smartphone to detect cattle grass intake and ruminating behaviors;Andriamandroso;Comput. Electron. Agric.,2017

2. Development of a threshold-based classifier for real-time recognition of cow feeding and standing behavioural activities from accelerometer data;Arcidiacono;Comput. Electron. Agric.,2017

3. Hierarchical recurrent neural network for skeleton based action recognition;Du,2015

4. Dynamic cattle behavioural classification using supervised ensemble classifiers;Dutta;Comput. Electron. Agric.,2015

5. Recurrent neural networks for emotion recognition in video;Ebrahimi Kahou,2015

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