Abstract: Disclosed herein are systems, methods, and devices of detecting illness in presymptomatic and asymptomatic infected persons using wearable sensor technology. In a first embodiment, a method is implemented on a computing device, the method includes receiving first sensor data associated with the person over a first period of time and applying the first sensor data to a multi-variate detection model. The method further includes receiving second sensor data associated with the person over a second period of time and applying the second sensor data to the multi-variate detection model. Further the method includes determining a probability value of the illness in the person using the multi-variate detection model and transmitting the probability value to a user interface (UI).

Abstract: A mannikin-based optical analyzer for analyzing an exposure of a subject to an environmental lighting condition. The analyzer has a mannikin with an outer surface replicating a facial profile of the subject, an interior inside the outer surface, and at least one pupil for admission of light into the interior of the mannikin. The analyzer has at least one optical detector configured to acquire and wavelength analyze light directed through the at least one pupil.

Abstract: A mannikin-based optical analyzer for analyzing an exposure of a subject to an environmental lighting condition. The analyzer has a mannikin with an outer surface replicating a facial profile of the subject, an interior inside the outer surface, and at least one pupil for admission of light into the interior of the mannikin. The analyzer has at least one optical detector configured to acquire and wavelength analyze light directed through the at least one pupil.