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Towards integration of doppler radar sensors into personalized thermoregulation-based control of HVAC

Authors:

Wooyoung Jung,

Farrokh JazizadehAuthors Info & Claims

BuildSys '17: Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments

Article No.: 21, Pages 1 - 4

https://doi.org/10.1145/3137133.3137166

Published: 08 November 2017 Publication History

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Abstract

This study evaluates the sensitivity of our novel and non-intrusive approach, powered by Doppler radar sensors to assess thermoregulation states as feedback to heating, ventilation, and air-conditioning (HVAC) systems. Thermoregulation-based HVAC control employs changes in physiological response of the human body for heat dissipation adjustment as feedback to the control logic. Our envisioned system calls for monitoring devices, capable of timely recognition of thermal sensation variations to minimize user discomfort. Respiration, one of the major contributors in heat dissipation of the human body, can be non-intrusively measured by Doppler radar sensors. Thus, the question in this study was whether the application of Doppler radar sensors is qualified and sufficiently sensitive for the envisioned system integration. We have presented a conceptual framework for system integration using Doppler radar sensors as well as an experimental study for addressing the research question by quantifying respiration in a test bed with gradual temperature changes from low to high. The results showed an increasing trend in the respiration state for three subjects out of four, and it was observed that respiration increased in higher temperatures for all the subjects. In other words, it is demonstrated that the Doppler radar sensors have promising sensitivity for non-intrusive monitoring of thermoregulation responses.

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Cited By

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Raeis HKazemi MShirmohammadi S(2024)CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multiperson Activity Sensing With FMCW Microwave RadarIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.336657573(1-10)Online publication date: 2024
https://doi.org/10.1109/TIM.2024.3366575
Zhao TElmalaki S(2024)FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)10.1109/ICCPS61052.2024.00025(202-211)Online publication date: 13-May-2024
https://doi.org/10.1109/ICCPS61052.2024.00025
Nihar KJain RCheong S(2024)Predicting Indoor Personalized Heat Stress Using Wearable Sensors and Data-Driven ModelsJournal of Building Engineering10.1016/j.jobe.2024.110761(110761)Online publication date: Sep-2024
https://doi.org/10.1016/j.jobe.2024.110761
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Index Terms

Towards integration of doppler radar sensors into personalized thermoregulation-based control of HVAC
1. Computer systems organization
  1. Embedded and cyber-physical systems
2. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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Published In

BuildSys '17: Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments

November 2017

292 pages

ISBN:9781450355445

DOI:10.1145/3137133

General Chair:
Kamin Whitehouse
University of Virginia
,
Program Chairs:
Prabal Dutta
University of California, Berkeley
,
Hae Young Noh
Carnegie Mellon University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 08 November 2017

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BuildSys '17: The 4th ACM International Conference on Systems for Energy-Efficient Built Environments

November 8 - 9, 2017

Delft, Netherlands

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Raeis HKazemi MShirmohammadi S(2024)CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multiperson Activity Sensing With FMCW Microwave RadarIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.336657573(1-10)Online publication date: 2024
https://doi.org/10.1109/TIM.2024.3366575
Zhao TElmalaki S(2024)FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)10.1109/ICCPS61052.2024.00025(202-211)Online publication date: 13-May-2024
https://doi.org/10.1109/ICCPS61052.2024.00025
Nihar KJain RCheong S(2024)Predicting Indoor Personalized Heat Stress Using Wearable Sensors and Data-Driven ModelsJournal of Building Engineering10.1016/j.jobe.2024.110761(110761)Online publication date: Sep-2024
https://doi.org/10.1016/j.jobe.2024.110761
Taherisadr MStavroulakis SElmalaki S(2023)adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop SystemsProceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation10.1145/3576842.3582325(262-274)Online publication date: 9-May-2023
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Setthapittayakul WSameera JLubecke VBoric-Lubecke O(2023)Doppler Radar Occupancy Sensor Assessment of Thermal Adaptation2023 Asia-Pacific Microwave Conference (APMC)10.1109/APMC57107.2023.10439672(402-404)Online publication date: 5-Dec-2023
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Becerik-Gerber BLucas GAryal AAwada MBergés MBillington SBoric-Lubecke OGhahramani AHeydarian AHöelscher CJazizadeh FKhan ALangevin JLiu RMarks FMauriello MMurnane ENoh HPritoni MRoll SSchaumann DSeyedrezaei MTaylor JZhao JZhu R(2022)The field of human building interaction for convergent research and innovation for intelligent built environmentsScientific Reports10.1038/s41598-022-25047-y12:1Online publication date: 21-Dec-2022
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Yang TBandyopadhyay AO’Neill ZWen JDong B(2021)From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric controlBuilding Simulation10.1007/s12273-021-0861-015:6(913-932)Online publication date: 7-Dec-2021
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Jung WJazizadeh F(2020)Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial consideration of influential parametersApplied Energy10.1016/j.apenergy.2020.114882268(114882)Online publication date: Jun-2020
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Jung WJazizadeh FDiller T(2019)Heat Flux Sensing for Machine-Learning-Based Personal Thermal Comfort ModelingSensors10.3390/s1917369119:17(3691)Online publication date: 25-Aug-2019
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Can computers visually quantify human thermal comfort?: Short Paper

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