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Niklas Karvonen
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2010 – 2019
- 2019
- [c5]Niklas Karvonen, Joakim Nilsson, Denis Kleyko
, Lara Lorna Jiménez:
Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing. ICMLA 2019: 370-375 - 2018
- [b1]Niklas Karvonen:
Unobtrusive Activity Recognition in Resource-Constrained Environments. Lulea University of Technology, Sweden, 2018 - [c4]Kåre Synnes
H2Al - The Human Health and Activity Laboratory. UCAmI 2018: 1241 - [c3]Niklas Karvonen
A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis. UCAmI 2018: 1261 - 2017
- [j3]Niklas Karvonen, Lara Lorna Jiménez, Miguel Gómez Simón, Joakim Nilsson, Basel Kikhia, Josef Hallberg:
Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency. Int. J. Comput. Intell. Syst. 10(1): 1272-1279 (2017) - 2016
- [j2]Basel Kikhia, Thanos G. Stavropoulos
Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia. Sensors 16(12): 1989 (2016) - [c2]Niklas Karvonen, Basel Kikhia, Lara Lorna Jiménez, Miguel Gómez Simón, Josef Hallberg:
A Computationally Inexpensive Classifier Merging Cellular Automata and MCP-Neurons. UCAmI (2) 2016: 368-379 - 2014
- [j1]Basel Kikhia, Miguel Gómez Simón, Lara Lorna Jiménez, Josef Hallberg, Niklas Karvonen
Analyzing Body Movements within the Laban Effort Framework Using a Single Accelerometer. Sensors 14(3): 5725-5741 (2014) - [c1]Anders Hedman
Designing ICT for Health and Wellbeing - An Allostatic, Behavioral-Change Approach to a Monitoring and Coaching App. IWAAL 2014: 244-251
Coauthor Index
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