Next Article in Journal
A Compact High-Speed Image-Based Method for Measuring the Longitudinal Motion of Living Tissues
Next Article in Special Issue
Reducing Response Time in Motor Imagery Using A Headband and Deep Learning
Previous Article in Journal
Simulation and Verification of Vertical Heterogeneity Spectral Response of Winter Wheat Based on the mSCOPE Model
Article

Personalized Office Lighting for Circadian Health and Improved Sleep

1
Electrical Engineering Department, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
2
Signify, 5656 AE Eindhoven, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(16), 4569; https://doi.org/10.3390/s20164569
Received: 1 July 2020 / Revised: 11 August 2020 / Accepted: 12 August 2020 / Published: 14 August 2020
In modern society, the average person spends more than 90% of their time indoors. However, despite the growing scientific understanding of the impact of light on biological mechanisms, the existing light in the built environment is designed predominantly to meet visual performance requirements only. Lighting can also be exploited as a means to improve occupant health and well-being through the circadian functions that regulate sleep, mood, and alertness. The benefits of well-lit spaces map across other regularly occupied building types, such as residences and schools, as well as patient rooms in healthcare and assisted-living facilities. Presently, Human Centric Lighting is being offered based on generic insights on population average experiences. In this paper, we suggest a personalized bio-adaptive office lighting system, controlled to emit a lighting recipe tailored to the individual employee. We introduce a new mathematical optimization for lighting schedules that align the 24-h circadian cycle. Our algorithm estimates and optimizes parameters in experimentally validated models of the human circadian pacemaker. Moreover, it constrains deviations from the light levels desired and needed to perform daily activities. We further translate these into general principles for circadian lighting. We use experimentally validated models of the human circadian pacemaker to introduce a new algorithm to mathematically optimize lighting schedules to achieve circadian alignment to the 24-h cycle, with constrained deviations from the light levels desired for daily activities. Our suggested optimization algorithm was able to translate our findings into general principles for circadian lighting. In particular, our simulation results reveal: (1) how energy constrains drive the shape of optimal lighting profiles by dimming the light levels in the time window that light is less biologically effective; (2) how inter-individual variations in the characteristic internal duration of the day shift the timing of optimal lighting exposure; (3) how user habits and, in particular, late-evening light exposure result in differentiation in late afternoon office lighting.
View Full-Text
Keywords: circadian light; circadian clock; smart buildings; office; sleep circadian light; circadian clock; smart buildings; office; sleep
Show Figures

Graphical abstract

MDPI and ACS Style

Papatsimpa, C.; Linnartz, J.-P. Personalized Office Lighting for Circadian Health and Improved Sleep. Sensors 2020, 20, 4569. https://doi.org/10.3390/s20164569

AMA Style

Papatsimpa C, Linnartz J-P. Personalized Office Lighting for Circadian Health and Improved Sleep. Sensors. 2020; 20(16):4569. https://doi.org/10.3390/s20164569

Chicago/Turabian Style

Papatsimpa, Charikleia; Linnartz, Jean-Paul. 2020. "Personalized Office Lighting for Circadian Health and Improved Sleep" Sensors 20, no. 16: 4569. https://doi.org/10.3390/s20164569

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop