Dual sleep monitor

1. A method comprising:

collecting data by a first sleep sensor and a second sleep sensor placed on either side of a sleep surface;

comparing by a sleep tracker processor the data from the first sleep sensor and the data from the second sleep sensor, to determine whether there is one sleeper or two sleepers on the sleep surface;

when the sleep tracker processor determines that there is the one sleeper on the sleep surface:

identifying the data collected by the first sleep sensor as associated with the one sleeper;

adding the data collected by the second sleep sensor to the data from the first sleep sensor, to produce enhanced data for the one sleeper;

analyzing the enhanced data to identify the one sleeper's sleep phase;

when the sleep tracker processor determines that there is a first sleeper and a second sleeper on the sleep surface:

identifying a first portion of the data collected by the first sleep sensor as data associated with the first sleeper; and

removing the data associated with the first sleeper from the data collected by the second sleep sensor, to identify a second portion of the data, the second portion of the data associated with the second sleeper; and

using the first portion of the data to identify the sleep phase of the first sleeper; and

using a second portion of the data to identify the sleep phase of the second sleeper.

2. The method of claim 1 , where the first sleep sensor comprises a piezoelectric sensor in a sensor case.

3. The method of claim 1 , further comprising:

separating out a first sub-portion of the data associated with a heart beat of the first sleeper,

separating out a second sub-portion of the data associated with a breathing of the first sleeper, and

utilizing the first sub-portion, the second sub-portion, and a third sub-portion of the data associated with the movement of the sleeper, to identify the sleep phase of the first sleeper.

4. The method of claim 1 , further comprising:

providing sleep data to the first sleeper on a user mobile device.

5. The method of claim 1 , further comprising:

enabling control of Internet of Things (IoT) elements in an environment of the sleep surface, to optimize sleep quality of the first sleeper.

6. The method of claim 5 , wherein the IoT elements are controlled based on a combination of the sleep phase of the first sleeper and a second sleeper.

7. The method of claim 1 , further comprising:

receiving environmental data from a base station; and

utilizing the environmental data in conjunction with the first portion of the data to determine the first sleeper's sleep phase.

8. The method of claim 7 , wherein the base station is used to adjust an environment to improve sleep quality of the first sleeper.

9. A sleep tracking system comprising:

a first in-bed sensor for positioning on a first side of a sleep surface;

a second in-bed sensor for positioning on a second side of the sleep surface; and

a sleep tracker processor comprising software to:

determine a number of sleepers on the sleep surface, wherein the number of sleepers is one or more, based on data from the first in-bed sensor and the second in-bed sensor;

when the sleep tracker processor identifies a first sleeper and a second sleeper on the sleep surface:

identify a first portion of the data collected by the first in-bed sensor associated with a first sleeper;

identify a second portion of the data collected by the second in-bed sensor associated with the second sleeper, and

remove the data associated with the first sleeper from the data collected by the second in-bed sensor, to identify a sub-portion of the second portion of the data associated with the second sleeper; and

when the sleep tracker processor determines that the second sleeper is not on the sleep surface, adding the data from the second in-bed sensor to the data from the first in-bed sensor, to create an enhanced data set for the first sleeper.

10. The sleep tracking system of claim 9 , further comprising:

the sleep tracker processor further comprising software to identify a third portion of the data collected by a second in-bed sensor associated with a first sleeper, and removing data associated with the second sleeper from the data collected by the second in-bed sensor, adding the third portion of the data from the second in-bed sensor to the data from the first in-bed sensor, to create an enhanced data set for the first sleeper.

11. The sleep tracking system of claim 9 , where the first in-bed sensor comprises a piezoelectric sensor in a sensor case.

12. The sleep tracking system of claim 9 , wherein the sleep tracker processor further comprises software to:

perform a ballistocardiograph analysis to separate out a first sub-portion of the data from the first in-bed sensor and the second in-bed sensor associated with a heart beat of the first sleeper, and

separate out a second sub-portion of the data from the first in-bed sensor and the second in-bed sensor associated with a breathing of the first sleeper.

13. The sleep tracking system of claim 9 , further comprising:

a server system to provide sleep data to the first sleeper on a user mobile device.

14. The sleep tracking system of claim 9 , further comprising:

an IoT controller to enable control of Internet of Things (IoT) elements in an environment of the sleep surface, to optimize sleep quality.

15. The sleep tracking system of claim 9 , further comprising:

a base station including one or more sensors to collect environmental data; and

the sleep tracker processor utilizing the environmental data in conjunction with the first portion of the data to determine the first sleeper's sleep phase.

16. The sleep tracking system of claim 15 , wherein the base station is used to adjust an environment to improve sleep quality of the first sleeper.

17. A sleep tracking system comprising:

a first in-bed sensor for positioning at head height for a first sleeper on a first side of a sleep surface;

a second in-bed sensor for positioning at head height for a second sleeper on a second side of the sleep surface; and

a sleep tracker comprising software:

to determine whether there is a second sleeper on the sleep surface; and

when it is determined that there is a second sleeper on the sleep surface:

identifying a first portion of the data associated with the first sleeper and a second portion of the data associated with the second sleeper, based on data from the first in-bed sensor and the second in-bed sensor, and

analyzing the first portion and the second portion of the data to identify a sleep phase for the first sleeper and the second sleeper;

when the sleep tracker determines that the second sleeper is not on the sleep surface, adding data from the second in-bed sensor to the data from the first in-bed sensor, thereby enhancing the data for the first sleeper from the first sensor with the data collected by the second sensor.

18. The method of claim 1 , further comprising:

identifying when a second sleeper gets on the bed, while the system is monitoring the first sleeper, and switching the sleep tracker processor to utilize multi-user adjustment.

19. The method of claim 1 , further comprising:

receiving predicted sleep phase data from a server;

verifying the predicted sleep phase data with the identified sleep phase of the sleepers on the sleep surface.