Using local data to improve sleep experience
A method and apparatus comprising to utilize local data to improve sleep is described. The method includes identifying local data relevant to a user's sleep quality, evaluating a user's sleep environment and sleep settings, and changing the user's sleep environment and/or sleep settings based on the local data.
1. 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;
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 evaluation to improve the user's sleep quality.
2. The method of claim 1 , wherein the local data from the third party database includes locality specific data and current local conditions.
3. The method of claim 2 , wherein the locality specific data includes one or more of: sunrise/sunset time, length of night, and phases of the moon.
4. The method of claim 2 , wherein the current local conditions include one or more of: allergen load, air quality, traffic levels, fires, and toxic spills.
5. The method of claim 1 , wherein the proximity to the one or more external pollution sources comprises proximity to one or more of: external light pollution, noise pollution, air pollution, electrical or magnetic field pollution, and infrasound pollution.
6. The method of claim 1 , 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.
7. The method of claim 1 , wherein changing the user's sleep environment comprises one or more of: utilizing an air filter, changing a room temperature, and closing curtains.
8. The method of claim 1 , further comprising:
alerting a user to change the user's sleep environment for subsequent sleep sessions by one of: utilizing an air filter, changing a room temperature, closing curtains, using earplugs, turning on a white noise machine, and adjusting light levels.
9. The method of claim 1 , wherein the sensors comprise one or more of: a barometer, a thermometer, a sound sensor, a location sensor, and an accelerometer.
10. The method of claim 9 , wherein the sensor comprises a location sensor, and wherein data from the location sensor is used to obtain locality specific data.
11. 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.
12. The apparatus of claim 11 , wherein the local data from the third party database includes locality specific data and current local conditions.
13. The apparatus of claim 12 , wherein the locality specific data includes one or more of: sunrise/sunset time, length of night, and phases of the moon.
14. The apparatus of claim 12 , wherein the current local conditions include one or more of: allergen load, temperature, atmospheric pressure, air quality, pollution levels, traffic levels, fires, toxic spills.
15. The apparatus of claim 11 , wherein the proximity to the one or more external pollution sources comprises proximity to: external light pollution, noise pollution, air pollution, electrical or magnetic field pollution, infrasound pollution.
16. The apparatus of claim 11 , 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.
17. The apparatus of claim 11 , wherein changing the user's sleep environment comprises one or more of: utilizing an air filter, changing a room temperature, and closing curtains.
18. The apparatus of claim 11 , further comprising:
a user interface to alert a user to change the user's sleep environment for subsequent sleep sessions by one of: utilizing an air filter, changing a room temperature, closing curtains, using earplugs, turning on a white noise machine, and adjusting light levels.
19. The apparatus of claim 11 , wherein the sensors comprise one or more of: a barometer, a thermometer, a sound sensor, a location sensor, and an accelerometer.
20. The apparatus of claim 11 , wherein at least one sensor is in a body-worn device.
21. 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.