Intelligent human-centric lighting for mental wellbeing improvement. (September 2019)

• Record Type: Journal Article
• Authors: Cupkova, Dominika; Kajati, Erik; Mocnej, Jozef; Papcun, Peter; Koziorek, Jiri; Zolotova, Iveta
• Is Part Of: International journal of distributed sensor networks. Volume 15:Number 9(2019)
• Publication Date: 2019-09
• Subjects: Human-centric lighting -- intelligent lighting -- Internet of Things -- wellbeing; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147719875878
• Languages: English
• ISSNs: 1550-1329

Abstract

In recent years, the main area of interest in the issue of influencing mental states of people is the impact of lighting on human beings, their wellbeing but also workplace productivity. This work discusses in detail the problem of positively influencing people using intelligent technologies, especially the role of the colors. We describe techniques and technologies needed to implement the case study of an intelligent lighting system. The system proposed can detect humans from an IP camera, find faces, and detect emotion. The main aim is to adjust the lights accordingly to the emotional result to improve the mood of people while taking into consideration the principles of color psychology and daytime. We have evaluated our case study solution in a real-world environment and collected the feedback from participants in the form of a questionnaire. Evaluation of participants' wellbeing was based on their subjective statements. There were several ideas on further functionality extension which needs to be explored. Among them is including wearable devices to the proposed system, validate the emotional results according to them, but also determine the impact of an increasing number of users interacting with the system at the same time.