Determining occupant's Thermal Comfort and Well-Being towards facilitating energy demand management utilizing a low-cost wearable device
Authors: 
John Gialelis, Maria Krizea, Grigoris Protopsaltis, Christos Mountzouris, Tasos Kladas, Gerasimos Theodorou, Stylianos KaratzasAuthors Info & Claims
John Gialelis, Maria Krizea, Grigoris Protopsaltis, Christos Mountzouris, Tasos Kladas, Gerasimos Theodorou, Stylianos KaratzasAuthors Info & ClaimsPages 24 - 31
Abstract
The scope of this work is to provide unobtrusive means to accurately depict the thermal comfort and well-being level of the occupants making them predictable energy wise and allow pertinent personalized feedback notifications or actions towards energy demand management while preserving their corresponding preferences. Specifically, a low-cost wearable wrist device, collects occupant's physiological, motion and indoor environmental condition data using unobtrusive appropriate sensors. Then, accounting the clothing conditions and the mean radiant temperature the occupant's thermal comfort level as well as the indoor air quality is assessed on the scale provided by ANSI/ASHRAE 55-2010 Standard. Thermal comfort and indoor quality levels are critical not only for health matters but also for the productivity of the occupants since it affects humans’ efficiency and the mood as well. Being aware of the occupant's thermal comfort level as well as the indoor quality level and the outdoor conditions essential actions can be scheduled regarding the energy demand.
References
[1]
World Health Organization, Regional Office for Europe, Combined or multiple exposure to health stressors in indoor built environments
[2]
U.S. Environmental Protection Agency. 1989. Report to Congress on indoor air quality: Volume 2. EPA/400/1-89/001C. Washington, DC
[3]
Jacqueline Vischer. 2007. The effects of the physical environment on job performance: towards a theoretical model of workspace stress. Stress and Health. 23(3):175–184.
[4]
Buildings Performance Institute Europe, Building 4 People: Quantifying the impact of a better indoor environment in schools, offices and hospitals
[5]
Vassilis Stavrakas, Alexandros Flamos. 2020. A modular high-resolution demand-side management model to quantify benefits of demand-flexibility in the residential sector. Energy Conversion and Management
[6]
American Society of Heating, Refrigerating and Air-conditioning Engineering. Thermal Environmental Conditions for Human Occupancy; ANSI/ASHRAE Standard 55-2010; American Society of Heating, Refrigerating and Air-conditioning Engineering: Atlanta, GA, USA, 2010
[7]
https://www.ashrae.org/technical-resources/bookstore/standard-55-thermal-environmental-conditions-for-human-occupancy
[8]
https://apps.who.int/iris/handle/10665/260127
[9]
https://www.ashrae.org/technical-resources/bookstore/standards-62-1-62-2
[10]
Chayan Sarkar, Akshay Uttama Nambi S.N., Venkatesha Prasad. 2016. iLTC: Achieving Individual Comfort in Shared Spaces. ACM International Conference on Embedded Wireless Systems and Networks (EWSN). 65–76
[11]
https://www.espressif.com/en/products/modules/esp32
[12]
https://grobotronics.com/pimoroni-heart-rate-oximeter-smoke-sensor-max30105.html?sl=en
[13]
https://www.analog.com/en/products/adxl362.html
[14]
Shahid Ismail, Usman Akram, Imran Siddiqi. 2021. Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review. EURASIP J. Adv. Signal Process. https://doi.org/10.1186/s13634-020-00714-2
[15]
Dwaipayan Biswas, Neide Simões-Capela, Chris Van Hoof, Nick Van Helleputte. 2019. Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review. IEEE Sensors Journal. 19(16):6560-6570. 10.1109/JSEN.2019.2914166
[16]
M. Raghu Ram, K. Venu Madhav, E. Hari Krishna, K. Nagarjuna Reddy, K. Ashoka Reddy. 2010. Adaptive reduction of motion artifacts from PPG signals using a synthetic noise reference signal. IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 315-319. 10.1109/IECBES.2010.5742252
[17]
Kyle R. Mallires, Di Wang, Vishal Varun Tipparaju, Nongjian Tao. 2019. Developing a Low-Cost Wearable Personal Exposure Monitor for Studying Respiratory Diseases Using Metal–Oxide Sensors. IEEE Sensors Journal. 19:8252 - 8261. 10.1109/JSEN.2019.2917435
[18]
https://atmotube.com/products/atmotube-plus
[19]
https://www.aernos.com/aerband-research
Index terms have been assigned to the content through auto-classification.
Recommendations
User Preferences in Occupational Sedentary Behaviour Digital Interventions: Design and Evaluation of a Low-Intrusive Software Tool
PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive EnvironmentsOccupational sedentariness has been recognized as a public health issue as the workforce is increasingly employed in low activity jobs. Supporting the employees with digital tools that increase awareness of occupational sedentary behaviour can ...
A thermal comfort estimation method by wearable sensors
SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied ComputingRealizing an environment that could automatically modify temperature and humidity according to human thermal comfort using an air conditioning system, it is necessary to measure the quantified changes of human thermal comfort continually. While ...
A Cross-dataset Evaluation of Wearable Fall Detection Systems
PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive EnvironmentsThe popularity of wearables and their seamless integration into our daily lives have transformed these devices into an appealing resource to deploy automatic fall detection systems. During last years, a massive literature on new methods and algorithms ...
Comments
Information & Contributors
Information
Published In
Copyright © 2022 ACM.
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]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 July 2022
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
PETRA '22
PETRA '22: The15th International Conference on PErvasive Technologies Related to Assistive Environments
June 29 - July 1, 2022
Corfu, Greece
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 103Total Downloads
- Downloads (Last 12 months)36
- Downloads (Last 6 weeks)6
Reflects downloads up to 08 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format