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

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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 Cardó, S. Somppi, H. Törnqvist, H. Väätäjä, 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.

Original languageEnglish
Article number107822
JournalData in Brief
Publication statusPublished - Feb 2022
Publication typeA1 Journal article-refereed


  • Accelerometer
  • Behavior classification
  • Dog activity classification
  • Gyroscope
  • Machine learning
  • Movement sensor

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • General


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