Activities per year
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.
|Effective start/end date||01/01/2021 → 30/06/2021|
- Artificial Intelligence
- Machine Learning
- visual comfort
- facial analysis
Hicham Johra (Other)1 May 2021 → 30 Jun 2021
Johra, Hicham (Recipient), Gade, Rikke (Recipient), Poulsen, Mathias Østergaard (Recipient), Christensen, Albert Daugbjerg (Recipient), Sarey Khanie, Mandana (Recipient), Moeslund, Thomas B. (Recipient) & Jensen, Rasmus Lund (Recipient), 9 Sept 2021
Prize: Conference prizesFile
- 1 Finished
01/01/2023 → 31/08/2023
Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situationsJohra, 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 p. (DCE Technical Reports; No. 316).
Research output: Book/Report › Report › ResearchOpen AccessFile19 Downloads (Pure)
Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building OccupantsJohra, H., Gade, R., Poulsen, M. Ø., Christensen, A. D., Sarey Khanie, M., Moeslund, T. B. & Jensen, R. L., 2021, In: Journal of Physics: Conference Series (Online). 2042, 1, 012008.
Research output: Contribution to journal › Conference article in Journal › Research › peer-reviewOpen AccessFile