摘要：The evolution of modern cyber-physical systems and the tremendous growth in thenumber of interconnected Internet of Things (IoT) devices are already paving new ways forthe development of improved data collection and processing methods.Modern devices, including smartphones, wearables, sensors, and actuators, generate tremendous amounts of data related to both human factors (biometrics, behavior,contact-tracing, etc.) as well as general environmental monitoring information (humidity,temperature, tracking, etc.) being collected and analyzed by the data scientists all over theworld. However, most of the collected measurements are only available for a small rangeof people deeply involved in its actual collection or processing.This Special Issue on “Measurements of User and Sensor Data from the Internet ofThings (IoT) Devices” in MDPI’s Data is devoted, but not limited to, data sets, including anyraw data collected by different IoT devices, supplemented by methods, algorithms, sensorfusion models, and related aspects of such kinds of data for wireless communications,tracking, personal data processing, positioning, eHealth monitoring, and sports analysis,among others.
