Levermore G. J., 2000, Building Energy Management Systems: Applications to low-energy HVAC and natural ventilation control., Taylor & Francis

Zhou B., Li W., Chan K. W., Cao Y., Kuang Y., Liu X., Wang X., 2016, Smart home energy management systems: Concept, configurations, and scheduling strategies, Renewable and Sustainable Energy Reviews, Vol. 61, pp. 30-40

Tarutani Y., Oct. 2018, Proposal of a consensus builder for environmental condition setting in spaces where people with various preferences coexist, in Proceedings of the 9th International conference on ICT convergence (ICTC) 2018, pp. 652-657

Vimalanathan K., Babu T. R., 2014., The effect of indoor office environment on the work performance, health and well-being of office workers, Journal of environmental health science and engineering, Vol. 12, No. 1, pp. 113

Wang Z., Tan Y. K., 2013, Illumination control of led systems based on neural network model and energy optimization algorithm, Energy and Buildings, Vol. 62, pp. 514-521

Schafer A., Kratky K. W., 2006, The effect of colored illumination on heart rate variability, Complementary Medicine Research, Vol. 13, No. 3, pp. 167-173

Vrijkotte T. G. M., van Doornen L. J. P., de Geus E. J. C., 2000, Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability, Hypertension, Vol. 35, No. 4, pp. 880-886

Haak M., Bos S., Panic S., Rothkrantz L., 2009, Detecting stress using eye blinks and brain activity from eeg signals, Proceeding of the 1st driver car interaction and interface (DCII 2008), pp. 35-60

Jap B. T., Lal S., Fischer P., Bekiaris E., 2009, Using eeg spectral components to assess algorithms for detecting fatigue, Expert Systems with Applications, Vol. 36, No. 2, pp. 2352-2359

Salahuddin L., Cho J., Jeong M. G., Kim D., Aug 2007, Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings, in 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4656-4659

Melillo P., Bracale M., Pecchia L., Nov 2011, Nonlinear heart rate variability features for real-life stress detection. case study: students under stress due to university examination, BioMedical Engineering OnLine, Vol. 10, pp. 96

Begum S., Ahmed M. U., Funk P., Xiong N., von Scheele B., September 2006, Using calibration and fuzzification of cases for improved diagnosis and treatment of stress, in 8th European Conference on Case-based Reasoning workshop proceedings (M. Minor, ed.), pp. 113-122

van Ravenswaaij-Arts C. M., Kollee L. A., Hopman J. C., Stoelinga G. B., van Geijn H. P., 1993, Heart rate variability, Annals of internal medicine, Vol. 118, No. 6, pp. 436-447

Japan Meteorological Agency., http://www.jma.go.jp