Analysis of Occupants’ Bio-Signal According to Indoor Lighting Environments and Development of the Productivity Forecasting Model in the Smart Office 


Vol. 47,  No. 11, pp. 1867-1875, Nov.  2022
10.7840/kics.2022.47.11.1867


PDF
  Abstract

Recently, the need to make a personalized environment using personal bio-signal data from various smart devices has been increasing. To acheive optimal productivity and energy-saving for indoor environments, we conducted a human experiment and analyzed their bio-signal. Based on the results, we proposed machine learning based productivity prediction model. We experimented at Arizona State University to obtain bio-signal at each indoor lighting condition. Among bio-signals, the pupil size and heart rate are selected. We show that pupil size and heart rate highly correlate with indoor lighting environments. Also, pupil size and heart rate correlate with productivity. Based on these results, we propose a decision tree-based productivity prediction model using pupil size and heart rate. The proposed model almost correctly predicts each person's productivity level.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

T. Kim, D. Yeom, S. Lim, S. Yoon, "Analysis of Occupants’ Bio-Signal According to Indoor Lighting Environments and Development of the Productivity Forecasting Model in the Smart Office," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 11, pp. 1867-1875, 2022. DOI: 10.7840/kics.2022.47.11.1867.

[ACM Style]

Tae-geun Kim, Dong-woo Yeom, Se-heon Lim, and Sung-guk Yoon. 2022. Analysis of Occupants’ Bio-Signal According to Indoor Lighting Environments and Development of the Productivity Forecasting Model in the Smart Office. The Journal of Korean Institute of Communications and Information Sciences, 47, 11, (2022), 1867-1875. DOI: 10.7840/kics.2022.47.11.1867.

[KICS Style]

Tae-geun Kim, Dong-woo Yeom, Se-heon Lim, Sung-guk Yoon, "Analysis of Occupants’ Bio-Signal According to Indoor Lighting Environments and Development of the Productivity Forecasting Model in the Smart Office," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 11, pp. 1867-1875, 11. 2022. (https://doi.org/10.7840/kics.2022.47.11.1867)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880