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Unobtrusive occupancy and vital signs sensing for human building interactive systems

Cognitive buildings use data on how occupants respond to the built environment to proactively make occupant-centric adjustments to lighting, temperature, ventilation, and other environmental parameters. However, sensors that unobtrusively and ubiquitously measure occupant responses are lacking. Here...

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Autores principales: Song, Chenyan, Droitcour, Amy D., Islam, Shekh M. M., Whitworth, Avon, Lubecke, Victor M., Boric-Lubecke, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846702/
https://www.ncbi.nlm.nih.gov/pubmed/36653386
http://dx.doi.org/10.1038/s41598-023-27425-6
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author Song, Chenyan
Droitcour, Amy D.
Islam, Shekh M. M.
Whitworth, Avon
Lubecke, Victor M.
Boric-Lubecke, Olga
author_facet Song, Chenyan
Droitcour, Amy D.
Islam, Shekh M. M.
Whitworth, Avon
Lubecke, Victor M.
Boric-Lubecke, Olga
author_sort Song, Chenyan
collection PubMed
description Cognitive buildings use data on how occupants respond to the built environment to proactively make occupant-centric adjustments to lighting, temperature, ventilation, and other environmental parameters. However, sensors that unobtrusively and ubiquitously measure occupant responses are lacking. Here we show that Doppler-radar based sensors, which can sense small physiological motions, provide accurate occupancy detection and estimation of vital signs in challenging, realistic circumstances. Occupancy was differentiated from an empty room over 93% of the time in a 3.4 m × 8.5 m conference room with a single sensor in both wall and ceiling-mounted configurations. Occupancy was successfully detected while an occupant was under the table, visibly blocked from the sensor, a scenario where infrared, ultrasound, and video-based occupancy sensors would fail. Heart and respiratory rates were detected in all seats in the conference room with a single ceiling-mounted sensor. The occupancy sensor can be used to control HVAC and lighting with a short, 1–2 min delay and to provide information for space utilization optimization. Heart and respiratory rate sensing could provide additional feedback to future human-building interactive systems that use vital signs to determine how occupant comfort and wellness is changing with time.
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spelling pubmed-98467022023-01-18 Unobtrusive occupancy and vital signs sensing for human building interactive systems Song, Chenyan Droitcour, Amy D. Islam, Shekh M. M. Whitworth, Avon Lubecke, Victor M. Boric-Lubecke, Olga Sci Rep Article Cognitive buildings use data on how occupants respond to the built environment to proactively make occupant-centric adjustments to lighting, temperature, ventilation, and other environmental parameters. However, sensors that unobtrusively and ubiquitously measure occupant responses are lacking. Here we show that Doppler-radar based sensors, which can sense small physiological motions, provide accurate occupancy detection and estimation of vital signs in challenging, realistic circumstances. Occupancy was differentiated from an empty room over 93% of the time in a 3.4 m × 8.5 m conference room with a single sensor in both wall and ceiling-mounted configurations. Occupancy was successfully detected while an occupant was under the table, visibly blocked from the sensor, a scenario where infrared, ultrasound, and video-based occupancy sensors would fail. Heart and respiratory rates were detected in all seats in the conference room with a single ceiling-mounted sensor. The occupancy sensor can be used to control HVAC and lighting with a short, 1–2 min delay and to provide information for space utilization optimization. Heart and respiratory rate sensing could provide additional feedback to future human-building interactive systems that use vital signs to determine how occupant comfort and wellness is changing with time. Nature Publishing Group UK 2023-01-18 /pmc/articles/PMC9846702/ /pubmed/36653386 http://dx.doi.org/10.1038/s41598-023-27425-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Song, Chenyan
Droitcour, Amy D.
Islam, Shekh M. M.
Whitworth, Avon
Lubecke, Victor M.
Boric-Lubecke, Olga
Unobtrusive occupancy and vital signs sensing for human building interactive systems
title Unobtrusive occupancy and vital signs sensing for human building interactive systems
title_full Unobtrusive occupancy and vital signs sensing for human building interactive systems
title_fullStr Unobtrusive occupancy and vital signs sensing for human building interactive systems
title_full_unstemmed Unobtrusive occupancy and vital signs sensing for human building interactive systems
title_short Unobtrusive occupancy and vital signs sensing for human building interactive systems
title_sort unobtrusive occupancy and vital signs sensing for human building interactive systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846702/
https://www.ncbi.nlm.nih.gov/pubmed/36653386
http://dx.doi.org/10.1038/s41598-023-27425-6
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