Abstract: The present disclosure pertains to a light sensing system configured to determine an amount of ambient light exposure experienced by a subject. The present invention wirelessly exchanges light information between different wearable devices of the same user and/or between devices of different users. Local and/or central light profile databases are built-up by the system and are shared between the devices so that light data that is typical for a location at a specific time of day and year can be used to estimate current ambient light levels for situations in which no measurement can be taken.

Abstract: The present invention relates to a light sensing system for sensing ambient light intensity, comprising a light sensing device with at least one light sensor and a calibration device for calibrating the sensor. The calibration device comprises at least one light source that emits light with a standard intensity. The invention is further related to a corresponding method for calibrating a light sensing device, comprising the illumination of the light sensor of the light sensing device with light that has a standard intensity, the comparison of the output intensity signal of the sensor with an expected signal that corresponds to the standard intensity, and the matching of the output intensity signal of the sensor to the expected signal by adjusting a gain parameter of the sensor.

Abstract: In certain implementations, health monitoring of an individual may be provided based on an individual-specific prediction model. In some implementations, a prediction model for health monitoring may be obtained. Health information associated with an individual may be obtained. The health information may indicate a co-occurrence of health conditions of the individual. An individual-specific prediction model associated with the individual may be generated based on the prediction model and the co-occurrence indication. Subsequent health information associated with the individual may be obtained. The subsequent health information may indicate one or more of: (i) subsequent measurements of the individual observed after the co-occurrence of the health conditions; or (ii) subsequent health conditions of the individual observed after the co-occurrence of the health conditions. A health status of the individual may be predicted based on the individual-specific prediction model and the subsequent health information.

Abstract: The present disclosure pertains to a light sensing system configured to determine an amount of ambient light exposure experienced by a subject. The present invention wirelessly exchanges light information between different wearable devices of the same user and/or between devices of different users. Local and/or central light profile databases are built-up by the system and are shared between the devices so that light data that is typical for a location at a specific time of day and year can be used to estimate current ambient light levels for situations in which no measurement can be taken.

Abstract: The present invention relates to a light sensing system for sensing ambient light intensity, comprising a light sensing device with at least one light sensor and a calibration device for calibrating the sensor. The calibration device comprises at least one light source that emits light with a standard intensity. The invention is further related to a corresponding method for calibrating a light sensing device, comprising the illumination of the light sensor of the light sensing device with light that has a standard intensity, the comparison of the output intensity signal of the sensor with an expected signal that corresponds to the standard intensity, and the matching of the output intensity signal of the sensor to the expected signal by adjusting a gain parameter of the sensor.