Intelligent human-centric lighting for mental wellbeing improvement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10243878" target="_blank" >RIV/61989100:27240/19:10243878 - isvavai.cz</a>
Result on the web
<a href="https://journals.sagepub.com/doi/10.1177/1550147719875878" target="_blank" >https://journals.sagepub.com/doi/10.1177/1550147719875878</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/1550147719875878" target="_blank" >10.1177/1550147719875878</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent human-centric lighting for mental wellbeing improvement
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Distributed Sensor Networks
ISSN
1550-1329
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85073055985