Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants
Hicham Johra, Rikke Gade, Mathias Østergaard Poulsen, Albert Daugbjerg Christensen, Mandana Sarey Khanie, Thomas Baltzer Moeslund, Rasmus Lund Jensen · Journal of Physics Conference Series · 2021
Abstract Glare is a common local visual discomfort that is difficult to identify with conventional light sensors. This article presents an artificial intelligence algorithm that detects subjective local glare discomfort from the image analysis of the video footage of an office occupant’s face. The occupant’s face is directly used as a visual comfort sensor. Results show that it can recognize glare discomfort with around 90% accuracy. This algorithm can thus be at the basis of an efficient feedback control system to regulate shading devices in an office building.