Research output per year
Research output per year
Description
Movement data was collected at a riding stable over the course of 7 days. The dataset comprises data from 18 individual horses with more than 1.2 million 2-second data samples, of which 93303 samples are labeled. Data from 11 subjects was labeled but for 6 subjects the data was labeled more extensively for 6 activities.
Accelerometer, Activity Recognition, Animals, Compass, Gyroscope, Horses, IMU, Neck, Orientation Independent, Artificial intelligence and image processing
Accelerometer, Activity Recognition, Animals, Compass, Gyroscope, Horses, IMU, Neck, Orientation Independent, Artificial intelligence and image processing
| Date made available | 14 Aug 2019 |
|---|---|
| Publisher | 4TU.Centre for Research Data |
| Date of data production | 2019 |
Research output
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Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning
Spink, S., Kamminga, J. W. & Kamilaris, A., 18 May 2022, Measuring Behavior 2022: 12th International Conference on Methods and Techniques in Behavioral Research, and 6th Seminar on Behavioral Methods. Spink, A., Barski, J., Brouwer, A-M., Riedel, G. & Sil, A. (eds.). Vol. 2. p. 51-58 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile47 Downloads (Pure) -
Hiding in the Deep: Online Animal Activity Recognition using Motion Sensors and Machine Learning
Kamminga, J. W., 9 Sept 2020, Enschede: University of Twente. 225 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile740 Downloads (Pure) -
Dataset: Horse Movement Data and Analysis of its Potential for Activity Recognition
Kamminga, J. W., Meratnia, N. & Havinga, P. J. M., 10 Nov 2019, p. 22-25.Research output: Contribution to conference › Paper › peer-review
Open AccessFile5 Citations (Scopus)178 Downloads (Pure)