Summary
This paper demonstrates that low-cost RGB color sensors can accurately estimate the circadian stimulus (CS) of both daylight and artificial light sources, enabling affordable monitoring for human-centered lighting control systems. The methodology uses the CIE daylight model as an intermediate step for daylight and an approximation method for artificial sources, achieving sufficient accuracy for practical indoor lighting applications.
Key Findings
- Maximal CS prediction error for daylight sources was less than 0.0025 when using the CIE daylight model intermediary approach with RGB sensors.
- Maximal CS prediction error for artificial light sources was 0.028, larger than for daylight but deemed acceptable for typical indoor lighting applications.
- RGB color sensors were validated as suitable for estimating circadian effectiveness across both daylight and artificial illumination with practical accuracy.
Categories
The Science of Light: Proposes a methodology using RGB color sensors to measure circadian stimulus (CS) metrics for both daylight and artificial light sources, directly relevant to lighting standards and measurement.
Sleep & Circadian Health: Provides practical tools for monitoring circadian effectiveness of lighting conditions, supporting human-centered lighting control systems aimed at promoting positive non-visual outcomes.
Author(s)
VQ Trinh, S Babilon, P Myland, TQ Khanh
Publication Year
2022
Number of Citations
6
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