umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Non-invasive assessments of thermal discomfort in real time
Show others and affiliations
2019 (English)In: Proceedings of the 1st International Conference on: Comfort at the Extremes: Energy, Economy and Climate: 10th – 11th April 2019 Heriot Watt University, Dubai, Ecohouse Initative Ltd. , 2019Conference paper, Published paper (Refereed)
Abstract [en]

People make distinctive gestures or movements when they are thermally uncomfortable, for example self-hugging when uncomfortably cold or brow-wiping when hot. Extreme thermal conditions reinforce this tendency. These gestures may be affected by various competing motivations such as emotional or physiological responses and cultural traditions. Several software applications can now identify and track movements of a person’s skeletal joints or keypoints in real time; these include hands, arms, elbows, head, etc.. A procedure was created to identify gestures related to thermal discomfort and then to decide if a person is uncomfortably warm or cold. When a discomfort-related gesture is detected, it is scored based on the type of gesture and recognition confidence. This score is fed into a “Thermal Comfort Index” (TCI). A zero TCI corresponds to thermal neutrality and higher positive or negative values correspond to feelings of warmth or cold, respectively. The TCI diverges further from zero when the detected gestures are frequent or intense. A key feature is a “library of gestures”; the procedure consults this library to determine if a particular gesture might be associated with thermal discomfort. This method was applied to a single person but could also be applied to large groups. This method of tracking thermal discomfort is well suited for locations where occupants are not easily able to communicate thermal preferences.

Place, publisher, year, edition, pages
Ecohouse Initative Ltd. , 2019.
Keywords [en]
thermal discomfort, non-invasive measurement, gesture, Kinect, HVAC
National Category
Building Technologies
Identifiers
URN: urn:nbn:se:umu:diva-158145OAI: oai:DiVA.org:umu-158145DiVA, id: diva2:1304732
Conference
CATE 2019 – Comfort at the Extremes: Energy, Economy and Climate
Available from: 2019-04-13 Created: 2019-04-13 Last updated: 2019-04-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

PDF

Authority records BETA

Olofsson, Thomas

Search in DiVA

By author/editor
Olofsson, ThomasYang, Bin
By organisation
Department of Applied Physics and Electronics
Building Technologies

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 65 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf