作者: D.N. Berlov , T.I. Baranova , F. Bisegna , L.P. Pavlova , A.V. Aladov
DOI: 10.1109/EEEIC.2015.7165379
关键词: Brightness 、 Artificial intelligence 、 Light-emitting diode 、 Colored 、 Computer vision 、 Workload 、 Smart lighting 、 Flicker fusion threshold 、 Computer science 、 State (computer science) 、 Reliability (statistics)
摘要: In studies of non-visual lighting effects conflicting results are frequently obtained. We suppose that such individual differences can be related to the initial functional state, as well type response light exposure. This raises question need develop methods for express-diagnosis state in a standardized Our show effect fatigue during mental workload detected by measuring critical flicker fusion frequency with specific colors and brightness levels. However, reliability this method is difficult estimate because different LEDs colors. believe using “smart lighting” devices, allowing obtaining color mixing colored LEDs, will overcome limitation.