Description of movement sensor dataset for dog behavior classification

6533b85bfe1ef96bd12bb5f1

RESEARCH PRODUCT

Description of movement sensor dataset for dog behavior classification

Antti Vehkaoja Sanni Somppi Heini Törnqvist Anna Valldeoriola Cardó Pekka Kumpulainen Heli Väätäjä Päivi Majaranta Veikko Surakka Miiamaaria V. Kujala Outi Vainio

subject

gyroscope Science (General)Computer applications to medicine. Medical informatics R858-859.7 behavior classification liikkeenkaappaus 413 Veterinary science eläinten käyttäytyminen koira dog activity classification Q1-390 mittauslaitteet Machine learning Dog activity classification Data Article luokitus (toiminta)Multidisciplinary Movement sensor 113 Computer and information sciences Gyroscope Accelerometer movement sensor accelerometer machine learning koneoppiminen Behavior classification

description

The description and results of the original investigation are found in: Dog behaviour classification with movement sensors placed on the harness and the collar, Kumpulainen, P., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Väätäjä, H., Majaranta, P., Gizatdinova, Y., Antink, C. H., Surakka, V., V. Kujala, M., Vainio, O. & Vehkaoja, A., Aug 2021, In: Applied Animal Behaviour Science. 241, 7 p., 105393. Movement sensor data from seven static and dynamic dog behaviors (sitting, standing, lying down, trotting, walking, playing, and (treat) searching i.e. sniffing) was collected from 45 middle to large sized dogs with six degree-of-freedom movement sensors attached to the collar and the harness. With 17 dogs the collection procedure was repeated. The duration of each of the seven behaviors was approximately three minutes. The order of the tasks was varied between the dogs and the two repetitions (for the 17 dogs). The behaviors were annotated post-hoc based on the video recordings made with two camcorders during the tests with one second resolution. The annotations were accurately synchronized with the raw movement sensors data.The annotated data was originally used for training behavior classification machine learning algorithms for classifying the seven behaviors. The developed signal processing and classification algorithms are provided together with the raw measurement data and reference annotations. The description and results of the original investigation that the dataset relates to are found in: P. Kumpulainen, A. Valldeoriola Cardo, S. Somppi, H. Tornqvist, H. Vaataja, P. Majaranta, Y. Gizatdinova, C. Hoog Antink, V. Surakka, M. V. Kujala, O. Vainio, A. Vehkaoja, Dog behavior classification with movement sensors placed on the harness and the collar, Applied Animal behavior Science, 241 (2021), 105,393. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) Peer reviewed

year	journal	country	edition	language
2022-02-01	Data in Brief

10.1016/j.dib.2022.107822 http://europepmc.org/articles/PMC8777071