Jacob Kamminga received his M.Sc in Embedded Systems from the University of Twente in October, 2015. His field of expertise is embedded systems. During his studies he worked as an Embedded Developer for Smart Grids within the energy group. Jacob received his B.Eng. from the Hanze University, Groningen in 2011. For his Bachelor’s thesis he developed a prototype of a novel Human Metabolic Simulator with IngMar Medical, the world leader in breathing simulation. He is currently researching anti-poaching methods by utilising Wireless Sensor Networks. His primary research interests are embedded signal processing and machine learning in sensor networks.
Surveys And Questionnaires
Kamminga, J. W. (Photographer). (2018). Dataset: Multi Sensor-Orientation Movement Data of Goats. Digital or Visual Products, DOI: 10.17026/dans-xhn-bsfb
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), . DOI: 10.1145/3191747
Kamminga, J. W. (Author). (2017). Dataset: Generic Online Animal Activity Recognition On Collar Tags. Digital or Visual Products, DOI: 10.17026/dans-zp6-fmna
Kamminga, J. W., Bisby, H. C., Le, D. V., Meratnia, N., & Havinga, P. J. M. (2017). Generic online animal activity recognition on collar tags. In UbiComp'17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 597-606). New York, NY: ACM Press. DOI: 10.1145/3123024.3124407
Kamminga, J. W., Le Viet Duc, L. D., & Havinga, P. J. M. (2016). Ambient Sound-Based Collaborative Localization of Indeterministic Devices. Sensors (Switserland), 16(9), 1478. DOI: 10.3390/s16091478
Le Viet Duc, D. V., Kamminga, J. W., Scholten, J., & Havinga, P. J. M. (2016). Nondeterministic Sound Source Localization with Smartphones in Crowdsensing. In V. D. Le, & L. D. Le Viet Duc (Eds.), Proceedings of the 5th CoSDEO workshop on Contact-Free Ambient Sensing, Localization and Tracking, CoSDEO 2016 (pp. 279-285). USA: IEEE Computer Society. DOI: 10.1109/PERCOMW.2016.7457115