engleski

Multi-sensor data fusion for location and activity tracking in HEALS

Introduction: The determination of presence in micro environments including indoor vs outdoor is critical for modelling personal exposure based on time-location-activity data. The aim of this study was to investigate the potential use of multiple sensors for location and activity tracking. Methods: As part of the HEALS project time- location-activity data were collected from 28 office workers across 6 European cities for 7 days with the MOVES app on a personal smartphone and the Fitbit Flex. In addition, real time personal air temperature (Elitech RC) was measured for all participants and real time personal UV level (Extech Luxmeter with Semrock 300/80 nm filter) was measured at 4 participants, both devices were attached to the outer clothing. Paper logs were kept by each participants for logging timeactivity and indoor and outdoor locations.

Multi-sensor data; location and activity tracking;

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