dr. J.W. Kamminga (Jacob)

Engineering & Materials Science

# Accelerometers
# Acoustic Waves
# Aerial Photography
# Animals
# Classifiers
# Sensors
# Smartphones

Physics & Astronomy

# Aerial Photography

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Pervasive Systems (PS)

Spink, S. , Kamminga, J. W. , & Kamilaris, A. (2022). Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning. In A. Spink, J. Barski, A-M. Brouwer, G. Riedel, & A. Sil (Eds.), Measuring Behavior 2022: 12th International Conference on Methods and Techniques in Behavioral Research, and 6th Seminar on Behavioral Methods (Vol. 2, pp. 51-58) https://doi.org/10.6084/m9.figshare.20066849

Padubidri, C. , Kamilaris, A., Karatsiolis, S. , & Kamminga, J. (2021). Counting sea lions and elephants from aerial photography using deep learning with density maps. Animal Biotelemetry, 9(1), 1-10. [27]. https://doi.org/10.1186/s40317-021-00247-x

Kamminga, J. W. (2020). Hiding in the Deep: Online Animal Activity Recognition using Motion Sensors and Machine Learning. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036550550

Kamminga, J. W. , Meratnia, N. , Le, D. V. , & Havinga, P. J. M. (2020). Towards Deep Unsupervised Representation Learning from Accelerometer Time Series for Animal Activity Recognition. Paper presented at 6th Workshop on Mining and Learning from Time Series, MiLeTS 2020.

Kamminga, J. W. , Meratnia, N. , & Havinga, P. J. M. (2019). Dataset: Horse Movement Data and Analysis of its Potential for Activity Recognition. 22-25. Paper presented at 2nd Workshop on Data Acquisition To Analysis, DATA 2019, New York, New York, United States. https://doi.org/10.1145/3359427.3361908

Kamminga, J. W., Jones, M., Seppi, K. , Meratnia, N. , & Havinga, P. J. M. (2019). Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks. In DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis (pp. 37-39) https://doi.org/10.1145/3359427.3361920

Kamminga, J. W., Janßen, L. , Meratnia, N. , & Havinga, P. J. M. (2019). Horsing Around: A Dataset Comprising Horse Movement. Data, 4(4), [131]. https://doi.org/10.3390/data4040131

Le, D. V. , Kamminga, J. , Scholten, H. , & Havinga, P. J. M. (2018). A Framework to Measure Reliance of Acoustic Latency on Smartphone Status. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 348-354). [8480354] IEEE. https://doi.org/10.1109/PERCOMW.2018.8480354

Kamminga, J. , Ayele, E. , Meratnia, N. , & Havinga, P. (2018). Poaching Detection Technologies - A Survey. Sensors (Switzerland), 18(5), [1474]. https://doi.org/10.3390/s18051474

Kamminga, J. W. , Le Viet Duc, D. V. , Meijers, J. P., Bisby, H. C. , Meratnia, N. , & Havinga, P. J. M. (2018). Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), [15]. https://doi.org/10.1145/3191747

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Naar mijn profiel

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.