HUMAN ACTIVITY RECOGNITION USING BINARY SENSORS, BLE BEACONS, AN INTELLIGENT FLOOR AND ACCELERATION DATA: A MACHINE LEARNING APPROACH

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Although there have been many studies aimed at the field of Human Activity Recognition, the relationship between what we do and where we do it has been little explored in this field.The objective of this paper is to propose an approach based on machine learning to address the challenge of the 1st UCAmI cup, which is the recognition of 24 activities

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Chelidonichthys lucerna (Linnaeus, 1758) Population Structure in the Northeast Atlantic Inferred from Landmark-Based Body Morphometry

The study of geometric morphometrics among stocks has proven to be a valuable tool in delineating fish spatial distributions and discriminating distinct population units.Variations in fish body morphology can be linked to genetic factors or to phenotypic adaptability in response to walnettos candy for sale environmental variables.The tub gurnard (C

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