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Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment

Author

Listed:
  • Sandra G. L. Persiani

    (Chair of Building Technology and Climate Responsive Design, Department of Architecture, Technical University of Munich, 80333 München, Germany)

  • Bilge Kobas

    (Chair of Building Technology and Climate Responsive Design, Department of Architecture, Technical University of Munich, 80333 München, Germany)

  • Sebastian Clark Koth

    (Chair of Building Technology and Climate Responsive Design, Department of Architecture, Technical University of Munich, 80333 München, Germany)

  • Thomas Auer

    (Chair of Building Technology and Climate Responsive Design, Department of Architecture, Technical University of Munich, 80333 München, Germany)

Abstract

The physiological and cognitive effects of environmental stimuli from the built environment on humans have been studied for more than a century, over short time frames in terms of comfort, and over long-time frames in terms of health and wellbeing. The strong interdependence of objective and subjective factors in these fields of study has traditionally involved the necessity to rely on a number of qualitative sources of information, as self-report variables, which however, raise criticisms concerning their reliability and precision. Recent advancements in sensing technology and data processing methodologies have strongly contributed towards a renewed interest in biometric data as a potential high-precision tool to study the physiological effects of selected stimuli on humans using more objective and real-time measures. Within this context, this review reports on a broader spectrum of available and advanced biosensing techniques used in the fields of building engineering, human physiology, neurology, and psychology. The interaction and interdependence between (i) indoor environmental parameters and (ii) biosignals identifying human physiological response to the environmental stressors are systematically explored. Online databases ScienceDirect, Scopus, MDPI and ResearchGate were scanned to gather all relevant publications in the last 20 years, identifying and listing tools and methods of biometric data collection, assessing the potentials and drawbacks of the most relevant techniques. The review aims to support the introduction of biomedical signals as a tool for understanding the physiological aspects of indoor comfort in the view of achieving an improved balance between human resilience and building resilience, addressing human indoor health as well as energetic and environmental building performance.

Suggested Citation

  • Sandra G. L. Persiani & Bilge Kobas & Sebastian Clark Koth & Thomas Auer, 2021. "Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment," Energies, MDPI, vol. 14(1), pages 1-40, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:1:p:232-:d:474651
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    References listed on IDEAS

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    1. Tom Y Chang & Agne Kajackaite, 2019. "Battle for the thermostat: Gender and the effect of temperature on cognitive performance," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-10, May.
    2. Paulína Šujanová & Monika Rychtáriková & Tiago Sotto Mayor & Affan Hyder, 2019. "A Healthy, Energy-Efficient and Comfortable Indoor Environment, a Review," Energies, MDPI, vol. 12(8), pages 1-37, April.
    3. Ma, Nan & Aviv, Dorit & Guo, Hongshan & Braham, William W., 2021. "Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Donghyun Rim & Stefano Schiavon & William W Nazaroff, 2015. "Energy and Cost Associated with Ventilating Office Buildings in a Tropical Climate," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
    5. Djongyang, Noël & Tchinda, René & Njomo, Donatien, 2010. "Thermal comfort: A review paper," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2626-2640, December.
    6. Dounia Mulders & Cyril de Bodt & Nicolas Lejeune & Arthur Courtin & Giulia Liberati & Michel Verleysen & André Mouraux, 2020. "Dynamics of the perception and EEG signals triggered by tonic warm and cool stimulation," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-25, April.
    7. Michel Grabisch & Jacques Duchene & Frédéric Lino & Patrice Perny, 2002. "Subjective Evaluation of Discomfort in Sitting Positions," Post-Print halshs-00273179, HAL.
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    Cited by:

    1. Xuefei Wang & Zhiqi Chen & Dawei Ma & Tingting Zhou & Jintang Chen & Xing Jiang, 2023. "Relationship between Visual and Thermal Comfort and Electrodermal Activity in Campus Blue–Green Spaces: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
    2. Alessandra Battisti & Livia Calcagni & Alberto Calenzo & Aurora Angelozzi & Miriam Errigo & Maurizio Marceca & Silvia Iorio, 2021. "Urban Health: Assessment of Indoor Environment Spillovers on Health in a Distressed Urban Area of Rome," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    3. Benedetto Nastasi & Francesco Mancini, 2021. "Procedures and Methodologies for the Control and Improvement of Energy-Environmental Quality in Construction," Energies, MDPI, vol. 14(9), pages 1-2, April.

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