Truong, William Zhang-Wei-Lian ; Trinh, Vinh Quang ; Khanh, Tran Quoc (2023)
Circadian stimulus – A computation model with photometric and colorimetric quantities.
In: Lighting Research & Technology, 2020, 52 (6)
doi: 10.26083/tuprints-00017808
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
The circadian stimulus is an important, validated and updated metric that describes the invisible influences of light on the human circadian system explicitly and scientifically. However, an absolute spectral power distribution must be supplied for its computation, which is only measurable by an expensive and complicated spectrometer. This paper proposes an alternative circadian stimulus computation model that is identified as the function CS(z, Eᵥ) for white light sources based on the most common and simplest parameters of illuminance Ev in lux and the chromaticity coordinate z. These parameters are well known and widely used in both colour science and lighting technology. In order to prove the accuracy and availability of the model, an internal validation was performed with the adapted method repeating split data to check the goodness of the model fit. The fitted model achieved a maximum residual of 0.058 in the circadian stimulus quantity (R²= 0.998). An external validation with the maximum residual of 0.030 (R² = 0.999) provided stronger evidence for the usability of the model in applications.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Truong, William Zhang-Wei-Lian ; Trinh, Vinh Quang ; Khanh, Tran Quoc |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Circadian stimulus – A computation model with photometric and colorimetric quantities |
| Sprache: | Englisch |
| Publikationsjahr: | 28 November 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | Oktober 2020 |
| Ort der Erstveröffentlichung: | London |
| Verlag: | SAGE Publications |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Lighting Research & Technology |
| Jahrgang/Volume einer Zeitschrift: | 52 |
| (Heft-)Nummer: | 6 |
| DOI: | 10.26083/tuprints-00017808 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/17808 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | The circadian stimulus is an important, validated and updated metric that describes the invisible influences of light on the human circadian system explicitly and scientifically. However, an absolute spectral power distribution must be supplied for its computation, which is only measurable by an expensive and complicated spectrometer. This paper proposes an alternative circadian stimulus computation model that is identified as the function CS(z, Eᵥ) for white light sources based on the most common and simplest parameters of illuminance Ev in lux and the chromaticity coordinate z. These parameters are well known and widely used in both colour science and lighting technology. In order to prove the accuracy and availability of the model, an internal validation was performed with the adapted method repeating split data to check the goodness of the model fit. The fitted model achieved a maximum residual of 0.058 in the circadian stimulus quantity (R²= 0.998). An external validation with the maximum residual of 0.030 (R² = 0.999) provided stronger evidence for the usability of the model in applications. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-178082 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Adaptive Lichttechnische Systeme und Visuelle Verarbeitung |
| Hinterlegungsdatum: | 28 Nov 2023 10:37 |
| Letzte Änderung: | 04 Dez 2023 11:54 |
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| Zugehörige Links: | |
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| Suche nach Titel in: | TUfind oder in Google |
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- Circadian stimulus – A computation model with photometric and colorimetric quantities. (deposited 28 Nov 2023 10:37) [Gegenwärtig angezeigt]
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