Listar INIT_Articles por autoría "f2aaf439-fa1d-4fce-9909-01f0a97f574c"
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A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting2020
Torres-Sospedra, Joaquín; Richter, Philipp; Moreira, Adriano; Mendoza-Silva, Germán Martín; Lohan, Elena Simona; Trilles, Sergio; Matey-Sanz, Miguel; Huerta, Joaquin IEEE (2020-08-17)Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a pattern recognition method that compares the captured operational fingerprint with a set of previously collected reference samples ... -
AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health
González-Pérez, Alberto; Matey-Sanz, Miguel; Granell, Carlos; Díaz-Sanahuja, Laura; Bretón-López, Juana; Casteleyn, Sven Elsevier (2023-04-21)In recent years, interest and investment in health and mental health smartphone apps have grown significantly. However, this growth has not been followed by an increase in quality and the incorporation of more advanced ... -
BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning
Mendoza-Silva, Germán Martín; Matey-Sanz, Miguel; Torres-Sospedra, Joaquín; Huerta, Joaquin MDPI (2019-03)RSS-based indoor positioning is a consolidated research field for which several techniques have been proposed. Among them, Bluetooth Low Energy (BLE) beacons are a popular option for practical applications. This paper ... -
Dataset of inertial measurements of smartphones and smartwatches for human activity recognition
Matey-Sanz, Miguel; Casteleyn, Sven; Granell, Carlos Elsevier (2023-11-17)This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. ... -
Using mobile devices as scientific measurement instruments: Reliable android task scheduling
González-Pérez, Alberto; Matey-Sanz, Miguel; Granell, Carlos; Casteleyn, Sven Elsevier ScienceDirect (2022-01-29)In various usage scenarios, smartphones are used as measuring instruments to systematically and unobtrusively collect data measurements (e.g., sensor data, user activity, phone usage data). Unfortunately, in the race towards ...