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A framework for the selection of tunable LED luminaire for human centric lighting design

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this era, the world needs solutions to improve the health and hence the immunity of working people. Over the past few years, several kinds of research occurred that deals with human-centric lighting (HCL) design which can entrain the circadian rhythm of people. This paper investigates various circadian light metrics and hence to perform a choice making for a user to select a tunable LED for HCL design. Here the capability of a selected tunable LED lamp source to complement an interior space is quantified to provide the best visual comfort and to entrain occupant circadian rhythm. Along with the Spectral Power Distribution(SPD) of the luminaire, evaluated the Correlated Color Temperature(CCT), the Color Rendering Index(CRI), the Fidelity index(Rf) and the Gamut Area Index(Rg) to establish the colour quality of the source. Here considered Melanopic-Photopic (M/P) ratio, Circadian Stimulus, and Equivalent Melanopic Lux (EML) for relating the circadian entrainment. Finally, this study aims to propose a methodology for analyzing and customizing the individual spaces for HCL design with tunable LED fixtures.

    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020
    EditorsS K Niranjan, B. P. Divakar, Sunilkumar S. Manvi, Vishwanath R. Hulipalled, Mallikarjun M. Kodabagi
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages95-100
    Number of pages6
    ISBN (Electronic)9781728172132
    DOIs
    Publication statusPublished - 09-10-2020
    Event2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020 - Virtual, Bengaluru, India
    Duration: 09-10-202010-10-2020

    Publication series

    NameProceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020

    Conference

    Conference2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020
    Country/TerritoryIndia
    CityVirtual, Bengaluru
    Period09-10-2010-10-20

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Science Applications
    • Electrical and Electronic Engineering

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