Bedding system with support surface control

1. A method for automatically adjusting a bedding system for a sleeper who is sleeping on the bedding system, the method comprising:

measuring, by a pressure mapping engine, a two-dimensional pressure image of the sleeper on the bedding system while the sleeper is sleeping on the bedding system;

applying a machine vision process to analyze the pressure image to determine a position classification for a body position of the sleeper, comprising:

identifying body parts of the sleeper from the pressure image;

determining a position of the body parts relative to each other on the pressure image; and

selecting a position classification for the body position of the sleeper, the position classification selected from a set of predetermined position classifications, the selection made based on the position of the body parts relative to each other;

providing the position classification to a comfort and support engine; and

while the sleeper is sleeping on the bedding system, adjusting, by the comfort and support engine, a comfort and/or support of the bedding system based at least in part on the position classification.

2. The method of claim 1 wherein the set of predetermined position classifications includes a leftside-sleeping classification, a rightside-sleeping classification, and a back-sleeping classification.

3. The method of claim 1 wherein the step of applying a machine vision process comprises applying a machine vision process to the pressure image to determine the sleeper's sleep state; and the step of adjusting a comfort and/or support of the bedding system comprises adjusting a comfort and/or support of the bedding system based on a sleep state of the sleeper.

4. The method of claim 3 wherein the step of applying a machine vision process comprises applying a machine vision process to the pressure image to select the sleeper's sleep state from a predefined set of possible sleep states that include at least one of: bed entry, deep sleep, restless motion, morning wake up and bed exit.

5. The method of claim 3 wherein the step of applying a machine vision process comprises applying a machine vision process to the pressure image to select the sleeper's sleep state from a predefined set of possible sleep states that include at least one of the accepted standard five stages of sleep.

6. The method of claim 1 wherein the step of adjusting a comfort and/or support of the bedding system comprises adjusting both a comfort and a support of the bedding system.

7. The method of claim 1 wherein the bedding system comprises a comfort layer and a support layer and the step of adjusting a comfort and/or support of the bedding system comprises adjusting both the comfort layer and the support layer of the bedding system.

8. The method of claim 1 wherein the step of adjusting a comfort and/or support of the bedding system comprises creating a travelling wave of pressure across the bedding system.

9. The method of claim 1 further comprising:

measuring a temperature of the bedding system while the sleeper is sleeping on the bedding system; and

adjusting the temperature of the bedding system based on the measured temperature.

10. The method of claim 9 wherein the bedding system comprises thermal zones that are separately adjustable, and the step of adjusting the temperature of the bedding system comprises adjusting a temperature of a thermal zone corresponding to a location of the sleeper's hands and/or feet.

11. The method of claim 1 further comprising:

measuring a moisture of the bedding system while the sleeper is sleeping on the bedding system; and

adjusting an airflow of the bedding system based on the measured moisture.

12. The method of claim 1 further comprising:

measuring a moisture of the bedding system while the sleeper is sleeping on the bedding system; and

adjusting a temperature of the bedding system based on the measured moisture.

13. The method of claim 1 wherein the bedding system comprises zones that are separately adjustable, and the step of adjusting a comfort and/or support of the bedding system comprises adjusting a comfort and/or support of the zones based on the analysis of the machine vision process.

14. The method of claim 13 wherein the step of adjusting a comfort and/or support of the zones comprises:

determining a location of the sleeper's hands and/or feet based on the analysis of the machine vision process; and

adjusting a comfort and/or support attribute of a zone of the zones corresponding to a location of the sleeper's hands and/or feet.

15. The method of claim 1 , wherein the bedding system comprises a pillow, and the method further comprises:

adjusting a height of the pillow based on the analysis of the machine vision process.

16. The method of claim 1 wherein the step of adjusting a comfort and/or support of the bedding system results in a reduced peak pressure in the measured pressure image.

17. The method of claim 1 wherein the step of adjusting a comfort and/or support of the bedding system changes an alignment of the sleeper's spine.

18. The method of claim 1 wherein the step of adjusting a comfort and/or support of the bedding system comprises selecting one of a set of preselected settings for the bedding system based on the analysis of the machine vision process.

19. The method of claim 18 wherein the preselected settings are customized for the sleeper.

20. The method of claim 18 wherein different preselected settings are customized for different sleepers.

21. The method of claim 18 wherein the step of selecting one of a set of preselected settings for the bedding system comprises:

selecting one of the set of preselected settings for the bedding system based on the body position of the sleeper.

22. The method of claim 1 further comprising:

sensing a shape of the sleeper on the bedding system while the sleeper is sleeping on the bedding system; and

while the sleeper is sleeping on the bedding system, adjusting the comfort and/or support of the bedding system based on the sensed shape.

23. The method of claim 1 wherein the step of adjusting a comfort and/or support of the bedding system comprises adjusting a firmness of the bedding system relative to an optimum firmness defined as a firmness where a normalized contact area of the pressure image is equal to a normalized average peak pressure of the pressure image.

24. A comfort and support control system for automatically adjusting a bedding system for a sleeper who is sleeping on the bedding system, comprising:

a pressure mapping engine that measures a two-dimensional pressure image of the sleeper on the bedding system while the sleeper is sleeping on the bedding system;

a machine vision process that analyzes the pressure image to determine a position classification for a body position of the sleeper, comprising:

identifying body parts of the sleeper from the pressure image;

determining a position of the body parts relative to each other on the pressure image; and

selecting a position classification for the body position of the sleeper, the position classification selected from a set of predetermined position classifications, the selection made based on the position of the body parts relative to each other;

providing the position classification to a comfort and support engine; and

the comfort and support engine that, while the sleeper is sleeping on the bedding system, adjusts a comfort and/or support of the bedding system based at least in part on the position classification.

25. The method of claim 1 , further comprising:

over a period of nights:

monitoring a pressure distribution of the sleeper on the bedding system while the sleeper is sleeping on the bedding system; and

adjusting, by the comfort and support engine, the comfort and/or support of the bedding system based on changes in the monitored pressure distribution over the period of nights.

26. The method of claim 25 wherein the step of adjusting the comfort and/or support of the bedding system comprises:

quantifying a movement of the sleeper based on the monitored pressure distributions; and

adjusting the comfort and/or support to reduce the sleeper's movement.

27. The method of claim 1 , wherein the machine vision process comprises:

calculating a medial axis of the pressure image, the medial axis including a set of line segments;

associating the set of line segments with a set of body parts;

determining, from the set of predetermined position classifications, a set of candidate predetermined position classifications based on the association between the set of line segments and the set of body parts;

for each candidate predetermined position classification: determining a quality score of the candidate predetermined position classification based on a matching between the set of line segments and the set of body parts; and

selecting a candidate position classification with a highest quality score as the position classification for the body position of the sleeper.