Using local data to improve sleep experience

An apparatus, comprising:

• a location sensor to determine a user location;
• a processor connected to a network connection configured to obtain local data from a third party database, the obtained local data comprising local pollution data having location and pollution type of one or more external pollution sources and, the obtained local data further comprising highly fluctuating local data, wherein the local pollution data is obtained by the processor from the database periodically, and wherein the highly fluctuating local data is obtained by the processor from the database more frequently than the local pollution data;
• one or more sensors acquiring additional local data relevant to a user's sleep quality;
• the processor further configured to use the local data from the third party database to determine a proximity of the user location to the one or more external pollution sources;
• the processor further configured to continuously evaluate a user's sleep environment and sleep settings based on the local data from the third party database, the determined proximity of the user location to the one or more external pollution sources, and the additional local data during a sleep session;
• and
• a controller configured to automatically change the user's sleep environment or sleep settings based on the continuous evaluation to improve the user's sleep quality.

A method performed by a device to improve a user's sleep, comprising:

• identifying a user location and storing the user location in memory of the device;
• automatically obtaining, via a computer network, local data from a third party database, the obtained local data comprising local pollution data having a location and a pollution type of one or more external pollution sources and, the obtained local data further comprising highly fluctuating local data, wherein the local pollution data is obtained from the database periodically, and wherein the highly fluctuating local data is obtained from the database more frequently than the local pollution data;
• determining proximity of the user location to the one or more external pollution sources;
• acquiring additional local data relevant to the user's sleep quality utilizing one or more sensors;
• continuously evaluating a sleep environment of the user and sleep settings based on the local data from the third party database, the determined proximity of the user location to the one or more external pollution sources, and the additional local data from the one or more sensors during a sleep session;
• and
• automatically changing the user's sleep environment or sleep settings based on the continuous evaluation to improve the user's sleep quality, wherein changing the user's sleep environment or sleep settings comprise one of:
• adding white noise, removing sounds, changing a waking time, adjusting light levels, adjusting temperature, and altering waking conditions.