Training a neural network for determining correlations between lighting effects and biological states
US11468662B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 25, 2019 |
| Grant date | Oct 11, 2022 |
| Priority date | — |
| Expiry date | Oct 25, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02B20/40
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Method includes recording biomarker information being indicative of at least one biological state of user remaining in lighting control environment over time frame, biomarker information being generated by at least one physiological sensor remaining with user in lighting control environment over time frame; recording light control settings for at least one light remaining in lighting control environment with user and with physiological sensor generating biomarker information over time frame; and training a neural network to determine correlations between biological state of user remaining in lighting control environment over time frame and lighting effects caused by at least one light remaining in lighting control environment with user over time frame, based on recordings of biomarker information and recordings of light control settings, and utilizing the correlations for controlling the at least one light. Computer readable medium for executing method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.