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Intelligent human-centric lighting for mental wellbeing improvement

Author

Listed:
  • Dominika Cupkova
  • Erik Kajati
  • Jozef Mocnej
  • Peter Papcun
  • Jiri Koziorek
  • Iveta Zolotova

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.

Suggested Citation

  • Dominika Cupkova & Erik Kajati & Jozef Mocnej & Peter Papcun & Jiri Koziorek & Iveta Zolotova, 2019. "Intelligent human-centric lighting for mental wellbeing improvement," International Journal of Distributed Sensor Networks, , vol. 15(9), pages 15501477198, September.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:9:p:1550147719875878
    DOI: 10.1177/1550147719875878
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    References listed on IDEAS

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    1. TaeYoung Kim & JongBeom Lim, 2019. "An edge cloud–based body data sensing architecture for artificial intelligence computation," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
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    Cited by:

    1. Oresti Banos & Joseph Rafferty & Luis A Castro, 2021. "Internet of things for health and well-being applications," International Journal of Distributed Sensor Networks, , vol. 17(3), pages 15501477219, March.
    2. Pedro Tavares & Dmitrii Ingi & Luiz Araújo & Paulo Pinho & Pramod Bhusal, 2021. "Reviewing the Role of Outdoor Lighting in Achieving Sustainable Development Goals," Sustainability, MDPI, vol. 13(22), pages 1-28, November.

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