Florian Wahl
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.
Supplemental Material
- Choe, E. K., Consolvo, S., Watson, N. F., and Kientz, J. A. Opportunities for computing technologies to support healthy sleep behaviors. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM (2011), 3053--3062. Google Scholar
Digital Library
- Duffy, J. F., and Wright, Jr, K. P. Entrainment of the human circadian system by light. J Biol Rhythms 20, 4 (Aug 2005), 326--338.Google ScholarCross Ref
- Kantermann, T., and Roenneberg, T. Is light-at-night a health risk factor or a health risk predictor? Chronobiol Int 26, 6 (Aug 2009), 1069--1074.Google ScholarCross Ref
- Kealy, A., McDaid, K., Loane, J., Walsh, L., and Doyle, J. Derivation of night time behaviour metrics using ambient sensors. In 7th International Conference on Pervasive Computing Technologies for Healthcare (2013), 33--40. Google ScholarDigital Library
- Revell, V. L., and Eastman, C. I. How to trick mother nature into letting you fly around or stay up all night. J Biol Rhythms 20, 4 (Aug 2005), 353--365.Google ScholarCross Ref
- Wright, Jr, K., Hughes, R. J., Kronauer, R. E., Dijk, D. J., and Czeisler, C. A. Intrinsic near-24-h pacemaker period determines limits of circadian entrainment to a weak synchronizer in humans. Proc Natl Acad Sci U S A 98, 24 (Nov 2001), 14027--14032.Google ScholarCross Ref
- Zhou, P., Zheng, Y., Li, Z., Li, M., and Shen, G. IOdetector: A generic service for indoor outdoor detection. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, SenSys '12, ACM (New York, NY, USA, 2012), 361--362. Google ScholarDigital Library
Index Terms
- How much light do you get?: estimating daily light exposure using smartphones
Recommendations
WISEglass: smart eyeglasses recognising context
BodyNets '15: Proceedings of the 10th EAI International Conference on Body Area NetworksWe investigated how regular eyeglasses could be extended with multi-modal sensing and processing functions to support context-awareness applications. Our aim was to leverage eyeglasses as a platform for acquiring and processing context information ...
Light-based circadian rhythm control
Light is a strong synchronizer for circadian rhythm - the 24-h biological oscillation in plants, insects, and mammals. This paper considers the circadian entrainment problem for a popular circadian oscillation model (the Kronauer model) by using light ...
LIPS: A Light Intensity--Based Positioning System for Indoor Environments
This article presents a Light Intensity--based Positioning System (LIPS) for indoor environments. The system uses off-the-shelf light-emitting diode lamps as signal sources and light sensors as signal receivers. The design is inspired by the observation ...
Comments