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Technical Papers

Evaluating machine learning models to classify occupants’ perceptions of their indoor environment and sleep quality from indoor air quality

ORCID Icon, , & ORCID Icon
Pages 1381-1397 | Received 04 Dec 2021, Accepted 15 Jul 2022, Published online: 21 Oct 2022

References

  • Åkerstedt, T., N. Orsini, H. Petersen, J. Axelsson, M. Lekander, and G. Kecklund. 2012. Predicting sleep quality from stress and prior sleep–a study of day-to-day co- variation across six weeks. Sleep Med. 13 (6):674–79. doi:10.1016/j.sleep.2011.12.013.
  • Akimoto, M., C. Sekhar, M. P. Bivolarova, C. Liao, X. Fan, J. Laverge, L. Lan, and P. Wargocki. 2021. Reviewing how bedroom ventilation affects IAQ and sleep quality. ASHRAE J. 63 (4):56–60.
  • ASHRAE. 2019. ANSI/ASHRAE standard 62.2-2019: Ventilation and acceptable indoor air quality in residential buildings.
  • Bai, Y., B. Xu, Y. Ma, G. Sun, and Y. Zhao. 2012 Will you have a good sleep tonight?: Sleep quality prediction with mobile phone. 7th International Conference on Body Area Networks, BODYNETS 2012, Oslo, Norway.
  • Billings, M. E., D. Gold, A. Szpiro, C. P. Aaron, N. Jorgensen, A. Gassett, P. J. Leary, J. D. Kaufman, and S. R. Redline. 2019. The association of ambient air pollution with sleep apnea: The multi-ethnic study of atherosclerosis. Ann. Am. Thorac. Soc. 16 (3):363–70. doi:10.1513/AnnalsATS.201804-248OC.
  • Breiman, L. 2001. Random forests. Mach Learn 45 (1):5–32. doi:10.1023/A:1010933404324.
  • Chuang, H.-C., K.-F. Ho, L.-Y. Lin, T.-Y. Chang, G. B. Hong, C.-M. Ma, I.-J. Liu, and K.-J. Chuang. 2017. Long- term indoor air conditioner filtration and cardiovascular health: A randomized crossover intervention study. Environ Int 106:91–96.
  • Colton, M. D., P. MacNaughton, J. Vallarino, J. Kane, M. Bennett-Fripp, J. D. Spengler, and G. Adamkiewicz. 2014. Indoor air quality in green vs conventional multifamily low-income housing. Environ. Sci. Technol. 48 (14):7833–41. doi:10.1021/es501489u.
  • Fang, L., G. Clausen, and P. O. Fanger. 1998. Impact of temperature and humidity on the perception of indoor air quality. Indoor Air 8 (2):80–90. doi:10.1111/j.1600-0668.1998.t01-2-00003.x.
  • Fiedler, N., K. Kelly-McNeil, P. Ohman-Strickland, J. Zhang, J. Ottenweller, and H. M. Kipen. 2008. Negative affect and chemical intolerance as risk factors for building- related symptoms: A controlled exposure study. Psychosom Med 70 (2):254–62. doi:10.1097/PSY.0b013e31816074f4.
  • Fritz, H., S. Bastami, C. Lin, K. Nweye, T. To, L. Chen, D. Le, A. Ibarra, W. Zhang, J. Y. Park, et al. 2022. Design, fabrication, and calibration of the Building EnVironment and Occupancy (BEVO) Beacon: A rapidly-deployable and affordable indoor environmental quality monitor. Building and Environment. doi:10.1016/j.buildenv.2022.109432
  • Fritz, H., K. A. Kinney, C. Wu, D. M. Schnyer, and Z. Nagy. 2022. Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality. Build. Environ. 214:108835. doi:10.1016/j.buildenv.2022.108835.
  • Fritz, H., and Z. Nagy. 2020. Ecologically valid multimodal data collection. In: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Yokohama, Japan. p. 326–27.
  • Geng, Y., W. Ji, B. Lin, and Y. Zhu. 2017. The impact of thermal environment on occupant ieq perception and productivity. Build. Environ. 121:158–67. doi:10.1016/j.buildenv.2017.05.022.
  • Gilbert, N. L., D. Gauvin, M. Guay, M.-È. Héroux, G. Dupuis, M. Legris, C. C. Chan, R. N. Dietz, and B. Lévesque. 2006. Housing characteristics and indoor concentrations of nitrogen dioxide and formaldehyde in quebec city, Canada. Environ. Res. 102 (1):1–8. doi:10.1016/j.envres.2006.02.007.
  • Hedge, A., W. A. Erickson, and G. Rubin. 1996. Predicting sick building syndrome at the individual and aggregate lev- els. Environ Int 22 (1):3–19. doi:10.1016/0160-4120(95)00099-2.
  • Hidayat, W., T. D. Tambunan, and R. Budiawan. 2018. Empowering wearable sensor generated data to predict changes in individual’s sleep quality. In: 2018 6th International Conference on Information and Communication Technology (ICoICT), Bandung, Indonesia. IEEE. p. 447–52.
  • Järnström, H., K. Saarela, P. E. A. Kalliokoski, and A.-L. Pasanen. 2006. Reference values for indoor air pollutant concentrations in new, residential buildings in Finland. Atmos. Environ. 40 (37):7178–91. doi:10.1016/j.atmosenv.2006.06.021.
  • Kim, K.-H., E. Kabir, and S. Kabir. 2015. A review on the human health impact of airborne particulate matter. Environ Int 74:136–43. doi:10.1016/j.envint.2014.10.005.
  • Klepeis, N. E., W. C. Nelson, W. R. Ott, J. P. Robinson, A. M. Tsang, P. Switzer, J. V. Behar, S. C. Hern, and W. H. Engelmann. 2001. The national human activity pattern survey (nhaps): A resource for assessing exposure to environmental pollutants. J Expo Sci Environ Epidemiol 11 (3):231–52. doi:10.1038/sj.jea.7500165.
  • Lan, L., K. Tsuzuki, Y. Liu, and Z. Lian. 2017. Thermal environment and sleep quality: A review. Energy Build. 149:101–13. doi:10.1016/j.enbuild.2017.05.043.
  • Lan, L., P. Wargocki, D. P. Wyon, and Z. Lian. 2011. Effects of thermal discomfort in an office on perceived air quality, SBS symptoms, physiological responses, and human performance. Indoor Air 21 (5):376–90. doi:10.1111/j.1600-0668.2011.00714.x.
  • Langer, S., and G. Bekö. 2013. Indoor air quality in the Swedish housing stock and its dependence on building characteristics. Build. Environ. 69:44–54. doi:10.1016/j.buildenv.2013.07.013.
  • Lévesque, B., V. Huppé, M. Dubé, and R. Fachehoun. 2018. Impact of indoor air quality on respiratory health: Results of a local survey on housing environment. Public Health 163:76–79. doi:10.1016/j.puhe.2018.06.015.
  • Liao, C., M. Delghust, and J. Laverge. 2019. Association between indoor air quality and sleep quality. In: 40th AIVC, 8th TightVent & 6th venticool Conference, Ghent, Belgium.
  • Ma, N., D. Aviv, H. Guo, and W. W. Braham. 2021. Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality. Renew. Sustain. Energy Rev. 135:110436. doi:10.1016/j.rser.2020.110436.
  • McCormack, M. C., P. N. Breysse, E. C. Matsui, N. N. Hansel, D. Williams, J. Curtin-Brosnan, P. Eggleston, and G. B. Diette. 2009. Center for Childhood Asthma in the Urban Environment, In-home particle concentrations and childhood asthma morbidity. Environ. Health Perspect. 117 (2):294–98. doi:10.1289/ehp.11770.
  • Means, M. K., J. D. Edinger, D. M. Glenn, and A. I. Fins. 2003. Accuracy of sleep perceptions among insomnia sufferers and normal sleepers. Sleep Med. 4 (4):285–96. doi:10.1016/S1389-9457(03)00057-1.
  • Menard, S. 2002. Applied logistic regression analysis, Vol. 106. SAGE Publications, Inc. doi:10.4135/9781412983433.
  • Mishra, A. K., A. Van Ruitenbeek, M. Loomans, and H. Kort. 2018. Window/door opening-mediated bedroom ventilation and its impact on sleep quality of healthy young adults. Indoor Air 28 (2):339–51. doi:10.1111/ina.12435.
  • Myles, A. J., R. N. Feudale, Y. Liu, N. A. Woody, and S. D. Brown. 2004. An introduction to decision tree modeling. J. Chemom: A J. Chemom. Soc 18 (6):275–85. doi:10.1002/cem.873.
  • Ohayon, M., E. M. Wickwire, M. Hirshkowitz, S. M. Albert, A. Avidan, F. J. Daly, Y. Dauvilliers, R. Ferri, C. Fung, D. Gozal, et al. 2017. National sleep foundation’s sleep quality recommendations: First report. Sleep Health. 3 (1):6–19. doi:10.1016/j.sleh.2016.11.006.
  • Pan, W. 2010. Relationships between air-tightness and its influencing factors of post-2006 new-build dwellings in the uk. Build. Environ. 45 (11):2387–99. doi:10.1016/j.buildenv.2010.04.011.
  • Raw, G. J., S. K. Coward, V. M. Brown, and D. R. Crump. 2004. Exposure to air pollutants in English homes. J. Expo. Sci. Environ. Epidemiol 14 (1):S85–S94. doi:10.1038/sj.jea.7500363.
  • Redlich, C. A., J. Sparer, and M. R. Cullen. 1997. Sick-building syndrome. Lancet 349 (9057):1013–16. doi:10.1016/S0140-6736(96)07220-0.
  • Ross, D., and D. Wilde. 1999. Continuous monitoring of nitrogen dioxide and carbon monoxide levels in UK homes. Proc. Indoor Air 99:147–52.
  • Sammut, C., and G. I. Webb 2011. Encyclopedia of machine learning. Springer Science & Business Media.
  • Sathyanarayana, A., S. Joty, L. Fernandez-Luque, F. Ofli, J. Srivastava, A. Elmagarmid, T. Arora, and S. Taheri. 2016. Sleep quality prediction from wearable data using deep learning. JMIR Mhealth Uhealth 4 (4):e125. doi:10.2196/mhealth.6562.
  • Ścibor, M., B. Balcerzak, A. Galbarczyk, N. Targosz, and G. Jasienska. 2019. Are we safe inside? indoor air quality in relation to outdoor concentration of pm10 and pm2. 5 and to characteristics of homes. Sustain. Cities Soc. 48:101537. doi:10.1016/j.scs.2019.101537.
  • Sekhar, S., K. Tham, and K. Cheong. 2003. Indoor air quality and energy performance of air-conditioned office buildings in Singapore. Indoor Air 13 (4):315–31. doi:10.1111/j.1600-0668.2003.00191.x.
  • Singer, B. C., W. R. Chan, Y.-S. Kim, F. J. Offermann, and I. S. Walker. 2020. Indoor air quality in California homes with code-required mechanical ventilation. Indoor Air 30 (5):885–99. doi:10.1111/ina.12676.
  • Sofuoglu, S. C. 2008. Application of artificial neural net- toms in office buildings. Build. Environ. 43 (6):1121–26. doi:10.1016/j.buildenv.2007.03.003.
  • Strøm-Tejsen, P., D. Zukowska, P. Wargocki, and D. P. Wyon. 2016. The effects of bedroom air quality on sleep and next-day performance. Indoor Air 26 (5):679–86. doi:10.1111/ina.12254.
  • Tang, H., Y. Ding, and B. Singer. 2020. Interactions and comprehensive effect of indoor environmental quality factors on occupant satisfaction. Build. Environ. 167:106462. doi:10.1016/j.buildenv.2019.106462.
  • Watson, N. F., M. S. Badr, G. Belenky, D. L. Bliwise, O. M. Buxton, D. Buysse, D. F. Dinges, J. Gangwisch, M. A. Grandner, C. Kushida, et al. 2015. Recommended amount of sleep for a healthy adult: A joint consensus statement of the American academy of sleep medicine and sleep research society. J. Clin. Sleep Med. 11 (6):591–92. doi:10.5664/jcsm.4758.
  • Wei, W., O. Ramalho, L. Malingre, S. Sivanantham, J. C. Little, and C. Mandin. 2019. Machine learning and statistical models for predicting indoor air quality. Indoor Air 29 (5):704–26. doi:10.1111/ina.12580.
  • Weschler, C. J. 2006. Ozone’s impact on public health: Contributions from indoor exposures to ozone and products of ozone-initiated chemistry. Environ. Health Perspect. 114 (10):1489–96. doi:10.1289/ehp.9256.
  • Williams, J. A., and D. J. Cook. 2017. Forecasting behavior in smart homes based on sleep and wake patterns. Technol. Health Care 25 (1):89–110. doi:10.3233/THC-161255.
  • World Health Organization. 2010. WHO guidelines for indoor air quality: Selected pollutants. World Health Organization, Regional Office for Europe.
  • Wu, C., H. Fritz, S. Bastami, J. P. Maestre, E. Thomaz, C. Julien, D. M. Castelli, K. de Barbaro, S. K. Bearman, G. M. Harari, et al. 2021. Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts. GigaScience. 10 (6):giab044. doi:10.1093/gigascience/giab044.
  • Xiong, J., L. Lan, Z. Lian, and R. De Dear. 2020. Associations of bedroom temperature and ventilation with sleep quality. Sci. Technol. Built Environ. 26 (9):1274–84. doi:10.1080/23744731.2020.1756664.
  • Xu, X., Z. Lian, J. Shen, T. Cao, J. Zhu, X. Lin, K. Qing, W. Zhang, and T. Zhang. 2021. Experimental study on sleep quality affected by carbon dioxide concentration. Indoor Air 31 (2):440–53. doi:10.1111/ina.12748.
  • Zhao, H., W. R. Chan, S. Cohn, W. W. Delp, I. S. Walker, and B. C. Singer. 2021. Indoor air quality in new and renovated low-income apartments with mechanical ventilation and natural gas cooking in California. Indoor Air 31 (3):717–29. doi:10.1111/ina.12764.