Light and mixed reality for visual assistance for the elderly

PhD student: Sofiane VERNET, ED SIS 488 (Science, Engineering, Health)

ABSTRACT
 
 
The rise in life expectancy is increasing the number of people with visual impairments, reducing their autonomy and quality of life. Current visual aids remain limited in both effectiveness and usability. The LUMAUS project introduces an innovative approach combining light-based technologies, artificial intelligence, computer vision and extended reality to create more efficient visual assistance systems. The research focuses on developing predictive models that control smart-adaptive lighting able of enhancing residual vision by adjusting visual cues according to the surrounding context. These models are built from psychophysical data collected in low vision conditions. The ultimate goal is to dynamically tailor the lighting environment to each user’s needs, improving the perception and identification of everyday life objects.

 
 
PUBLICATIONS
  • S. Vernet, É. Dinet, A. Trémeau, P. Colantoni, Experimental protocol for color difference evaluation under stabilized LED light, Journal of Imaging, https://www.mdpi.com/2313-433X/11/1/4

CONFERENCES
  • S. Vernet, R. Nakayama, É. Dinet, A. Trémeau, P. Colantoni, Stabilization of the spectral power distribution of a tunable multichannel LED lighting system, 8th International Computational Color Imaging Workshop - Milan - Septembre 2024 
  • S. Vernet, É. Dinet, P. Colantoni , A. Trémeau, Effects of LED Light Channels on Color Discrimination in Low Vision, Envision Conference 2025