Design of Real-Time Individualized Comfort Monitor System Used in Healthcare Facilities

Yanxiao Feng, Nan Wang, Julian Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is an increasing need to address the issue of achieving and maintaining a healthy and comfortable indoor environment in healthcare facilities, such as hospitals, nursing homes, etc. The occupants can identify the environmental variables that contribute to the indoor quality; however, different people would have their individual needs, health conditions, preferences, and expectations of the environment. An individualized comfort model is a new approach to enhance the occupants’ comfort in a monitored micro-environmental condition. The proposed individualized comfort model in this work integrates three primary types of input parameters: micro-environmental data, individual physiological signals, and individual-specific data. This paper intends to form the framework of the individualized indoor comfort model by leveraging wearable sensors and data-driven methods that address the real-time data collection and monitor. This comfort model is more about the thermal and visual comfort level at this stage. The measurement methods of the input, output, and third factors (e.g., confounding and mediating variables) will be discussed. The hardware (Arduino platform, wristband, camera module) and the software (smartphone application, webserver) are proposed in this real-time individualized comfort monitor system. Also, the modeling workflow to develop such personalized comfort models will be explained. This developed personal comfort model with long-term input data is expected to have a more accurate prediction accuracy.

Original languageEnglish (US)
Title of host publicationHCI International 2020 – Late Breaking Papers
Subtitle of host publicationDigital Human Modeling and Ergonomics, Mobility and Intelligent Environments - 22nd HCI International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Vincent G. Duffy, Norbert Streitz, Shin’ichi Konomi, Heidi Krömker
PublisherSpringer Science and Business Media Deutschland GmbH
Pages261-270
Number of pages10
ISBN (Print)9783030599867
DOIs
StatePublished - 2020
Event22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: Jul 19 2020Jul 24 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12429 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period7/19/207/24/20

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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