Aktiviteter pr. år
Projektdetaljer
Beskrivelse
This Bridging project aims at developing a face analysis system that uses machine learning to directly evaluate the subjective local visual comfort of occupants based on the video footage of their facial and eyes expressions. The face of the occupant is directly used as a visual comfort sensor. This video-based face analysis algorithm will be able to detect local visual discomfort and thus send adequate feedback for the optimum regulation of the lighting system and the shading device in an office.
https://www.ai.aau.dk/collaboration/AI+for+optimizing+indoor+visual+comfort+from+facial+analysis/
Status | Afsluttet |
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Effektiv start/slut dato | 01/01/2021 → 30/06/2021 |
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Aktiviteter
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AAU AI for the People Center - Talk
Johra, H. (Deltager)
11 nov. 2021Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i workshop, kursus, seminar, udstilling eller lignende
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CISBAT 2021
Johra, H. (Deltager)
8 sep. 2021 → 10 sep. 2021Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i konference
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AI for optimizing indoor visual comfort from facial analysis: WP.3 - Test and demonstration
Johra, H. (Andet)
1 maj 2021 → 30 jun. 2021Aktivitet: Andet
Priser
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Best Paper Award at Conference CISBAT 2021
Johra, H. (Modtager), Gade, R. (Modtager), Poulsen, M. Ø. (Modtager), Christensen, A. D. (Modtager), Sarey Khanie, M. (Modtager), Moeslund, T. B. (Modtager) & Jensen, R. L. (Modtager), 9 sep. 2021
Pris: Konferencepriser
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Projekter
- 1 Afsluttet
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COVOCHA: COVOCHA: COmputer Vision-based Occupancy CHAracterization
Johra, H. (PI (principal investigator)), Gade, R. (Projektdeltager), Kantas, C. (Projektdeltager) & Melgaard, S. P. (Projektdeltager)
01/01/2023 → 30/09/2024
Projekter: Projekt › Forskning
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Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations
Johra, H., Veit, M., Poulsen, M. Ø., Christensen, A. D., Gade, R., Moeslund, T. B. & Jensen, R. L., jul. 2023, Aalborg: Department of the Built Environment, Aalborg University. 20 s. (DCE Technical Reports; Nr. 316).Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
Åben adgangFil133 Downloads (Pure) -
Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants
Johra, H., Gade, R., Poulsen, M. Ø., Christensen, A. D., Sarey Khanie, M., Moeslund, T. B. & Jensen, R. L., 2021, I: Journal of Physics: Conference Series (Online). 2042, 1, 012008.Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review
Åben adgangFil5 Citationer (Scopus)114 Downloads (Pure)
Presse/medier
Forskningsdatasæt
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Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - images
Johra, H. (Ophavsperson) & Veit, M. (Ophavsperson), Zenodo, 1 jun. 2022
DOI: 10.5281/zenodo.6895080, https://zenodo.org/record/6895080
Datasæt
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Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - videos
Johra, H. (Ophavsperson) & Veit, M. (Ophavsperson), Zenodo, 1 jun. 2022
DOI: 10.5281/zenodo.6895054, https://zenodo.org/record/6895054
Datasæt