Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.3390/s18082456
Lizenz creative commons licence
Titel (primär) Advanced smartphone-based sensing with open-source task automation
Autor Ueberham, M.; Schmidt, F.; Schlink, U. ORCID logo
Quelle Sensors
Erscheinungsjahr 2018
Department SUSOZ
Band/Volume 18
Heft 8
Seite von art. 2456
Sprache englisch
Keywords smartphone sensors; personal exposure monitoring; task automation; participatory sensing; acoustic noise; geolocation; cycling
Abstract Smartphone-based sensing is becoming a convenient way to collect data in science, especially in environmental research. Recent studies that use smartphone sensing methods focus predominantly on single sensors that provide quantitative measurements. However, interdisciplinary projects call for study designs that connect both, quantitative and qualitative data gathered by smartphone sensors. Therefore, we present a novel open-source task automation solution and its evaluation in a personal exposure study with cyclists. We designed an automation script that advances the sensing process with regard to data collection, management and storage of acoustic noise, geolocation, light level, timestamp, and qualitative user perception. The benefits of this approach are highlighted based on data visualization and user handling evaluation. Even though the automation script is limited by the technical features of the smartphone and the quality of the sensor data, we conclude that task automation is a reliable and smart solution to integrate passive and active smartphone sensing methods that involve data processing and transfer. Such an application is a smart tool gathering data in population studies.
dauerhafte UFZ-Verlinkung
Ueberham, M., Schmidt, F., Schlink, U. (2018):
Advanced smartphone-based sensing with open-source task automation
Sensors 18 (8), art. 2456 10.3390/s18082456