Recommendation of indoor luminous environment for occupants using big data analysis based on machine learning
Abstract
To provide an optimal luminous environment for occupants, a personalized luminous environment can be recommended by analyzing personal lifelog data. A basic platform for collecting lifelog data was constructed based on a previous study, and the collected data were classified into three types: task, fatigue, and emotion. Twelve tasks were defined, and appropriate ranges of illuminance and correlated color temperature (CCT) were recommended for...
Paper Details
Title
Recommendation of indoor luminous environment for occupants using big data analysis based on machine learning
Published Date
Jul 1, 2021
Journal
Volume
198
Pages
107835 - 107835
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History