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How much light do you get? Estimating daily light exposure using smartphones

Publication Type Conference Paper
Authors Florian Wahl, Thomas Kantermann, Oliver Amft
Title How much light do you get? Estimating daily light exposure using smartphones
Abstract We present an approach to estimate a persons light exposure using smartphones. We used web-sourced weather reports combined with smartphone light sensor data, time of day, and indoor/outdoor information, to estimate illuminance around the user throughout a day. Since light dominates every human's circadian rhythm and influences the sleep-wake cycle, we developed a smartphone-based system that does not require additional sensors for illuminance estimation. To evaluate our approach, we conducted a free-living study with 12 users, each carrying a smartphone, a head-mounted light reference sensor, and a wrist-worn light sensing device for six consecutive days. Estimated light values were compared to the head-mounted reference, the wrist-worn device and a mean value estimate. Our results show that illuminance could be estimated at less than 20% error for all study participants, outperforming the wrist-worn device. In 9 out of 12 participants the estimation deviated less than 10% from the reference measurements.
Date 2014
Proceedings Title Proceedings of the 2014 ACM International Symposium on Wearable Computers (ISWC '14)
Publisher ACM
Pages 43–46
DOI 10.1145/2634317.2634346
URL Publisher's website
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