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
Affiliations
Antti Vehkaoja
Faculty of Medicine and Health Technology, Tampere University, P.O. Box 692, Tampere FI-33101, Finland; Corresponding authors.
Sanni Somppi
Department of Equine and Small Animal Medicine, University of Helsinki, P.O. Box 57, Helsinki FI-00014, Finland
Heini Törnqvist
Department of Equine and Small Animal Medicine, University of Helsinki, P.O. Box 57, Helsinki FI-00014, Finland; Department of Psychology, Faculty of Education and Psychology, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014, Finland
Anna Valldeoriola Cardó
Department of Equine and Small Animal Medicine, University of Helsinki, P.O. Box 57, Helsinki FI-00014, Finland
Pekka Kumpulainen
Faculty of Medicine and Health Technology, Tampere University, P.O. Box 692, Tampere FI-33101, Finland
Heli Väätäjä
Research Group for Emotions, Sociality, and Computing, Faculty of Information Technology and Communication Sciences, Tampere University, P.O. Box 100, Tampere FI-33014, Finland; Master School, Lapland University of Applied Sciences, Jokiväylä 11 B, Rovaniemi 96300, Finland
Päivi Majaranta
Research Group for Emotions, Sociality, and Computing, Faculty of Information Technology and Communication Sciences, Tampere University, P.O. Box 100, Tampere FI-33014, Finland
Veikko Surakka
Research Group for Emotions, Sociality, and Computing, Faculty of Information Technology and Communication Sciences, Tampere University, P.O. Box 100, Tampere FI-33014, Finland
Miiamaaria V. Kujala
Department of Equine and Small Animal Medicine, University of Helsinki, P.O. Box 57, Helsinki FI-00014, Finland; Department of Psychology, Faculty of Education and Psychology, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014, Finland
Outi Vainio
Department of Equine and Small Animal Medicine, University of Helsinki, P.O. Box 57, Helsinki FI-00014, Finland; Corresponding authors.
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.
