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A Computationally Inexpensive Classifier Merging Cellular Automata and MCP-Neurons., , , , and . UCAmI (2), volume 10070 of Lecture Notes in Computer Science, page 368-379. (2016)A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis., and . UCAmI, volume 2 of MDPI Proceedings, page 1261. MDPI, (2018)Analyzing Body Movements within the Laban Effort Framework Using a Single Accelerometer., , , , , and . Sensors, 14 (3): 5725-5741 (2014)H2Al - The Human Health and Activity Laboratory., , , , , , , , , and 2 other author(s). UCAmI, volume 2 of MDPI Proceedings, page 1241. MDPI, (2018)Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency., , , , , and . Int. J. Comput. Intell. Syst., 10 (1): 1272-1279 (2017)Unobtrusive Activity Recognition in Resource-Constrained Environments.. Lulea University of Technology, Sweden, (2018)Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia., , , , , , , and . Sensors, 16 (12): 1989 (2016)Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing., , , and . ICMLA, page 370-375. IEEE, (2019)