Advanced Smartphone-Based Sensing with Open-Source Task Automation.

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 visual

SUBMITTER: Ueberham M 

PROVIDER: S-EPMC6111588 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature