System and method for predicting human posture using a rules-based sequential approach

• US 20060053108A1
• Filed: 09/03/2004
• Published: 03/09/2006
• Est. Priority Date: 09/03/2004
• Status: Active Grant

• Current Assignee: Siemens Product Lifecycle Management Software Incorporated (Siemens AG)
• Original Assignee: Siemens Product Lifecycle Management Software Incorporated (Siemens AG)
• Inventors: Raschke, Ulrich
• Granted Patent: US 9,129,077 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2111/04 Constraint-based CAD
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

According to one embodiment of the invention, a computerized method for predicting posture of a living object includes storing a plurality of posturing rules for a respective activity in a storage location, receiving a start posture of a first living object for the activity, receiving a location of a target for the activity, dividing the activity into a plurality of movements based on the start posture and the location of the target, and determining an end posture of the first living object for the activity. Determining the end posture includes applying at least one of the posturing rules for each of the movements and checking at least one of a plurality of constraints associated with each of the movements.

Claims

1. A computerized method for predicting posture of a living object, comprising:

storing a plurality of posturing rules for a respective activity in a storage location;

receiving a start posture of a first living object for the activity;

receiving a location of a target for the activity;

dividing the activity into a plurality of movements based on the start posture and the location of the target; and

determining an end posture of the first living object for the activity, comprising;

applying at least one of the posturing rules for each of the movements; and

checking at least one of a plurality of constraints associated with each of the movements.

2. The computerized method of claim 1, further comprising selecting one of a plurality of modules for the respective activity.

3. The computerized method of claim 1, wherein the plurality of movements comprises:

horizontally positioning the first living object relative to the target;

flexing the torso of the first living object;

rotating the pelvic of the first living object;

vertically positioning the pelvic of the first living object; and

posturing the legs of the first living object.

4. The computerized method of claim 3, further comprising posturing the head of the first living object.

5. The computerized method of claim 1, wherein the plurality of constraints are selected from the group consisting of:

a balance for the first living object;

a location of a barrier;

a sight line for the first living object;

reachability of the target;

physiological correctness; and

a strength of the first living object.

6. The computerized method of claim 1, wherein determining the end posture of the first living object for the activity further comprises adjusting an intermediate posture of the first living object based on a result of the checking step.

7. The computerized method of claim 1, wherein the living object is a human.

8. Logic encoded in media for predicting posture of a living object, the logic operable to perform the following steps:

store a plurality of posturing rules for a respective activity in a storage location;

receive a start posture of a first living object for the activity;

receive a location of a target for the activity;

divide the activity into a plurality of movements based on the start posture and the location of the target; and

determine an end posture of the first living object for the activity by applying at least one of the posturing rules for each of the movements, and checking at least one of a plurality of constraints associated with each of the movements.

9. The logic encoded in media of claim 8, the logic further operable to select one of a plurality of modules for the respective activity.

10. The logic encoded in media of claim 8, wherein the plurality of movements comprises:

horizontally positioning the first living object relative to the target;

flexing the torso of the first living object;

rotating the pelvic of the first living object;

vertically positioning the pelvic of the first living object; and

posturing the legs of the first living object.

11. The logic encoded in media of claim 10, further comprising posturing the head of the first living object.

12. The logic encoded in media of claim 8, wherein the plurality of constraints are selected from the group consisting of:

a balance for the first living object;

a location of a barrier;

a sight line for the first living object;

reachability of the target;

physiological correctness; and

a strength of the first living object.

13. The logic encoded in media of claim 8, wherein the logic is further operable to adjust an intermediate posture of the first living object based on a result of the checking step.

14. The logic encoded in media of claim 8, wherein the living object is a human.

15. A computerized method for predicting posture of a living object, comprising:

selecting one of a plurality of modules for a respective activity;

storing a plurality of posturing rules for the respective activity in a storage location;

receiving a start posture of a first living object for the activity;

receiving a location of a target for the activity;

successively positioning the first living object into a plurality of movements, comprising;

horizontally positioning the first living object relative to the target;

flexing the torso of the first living object;

rotating the pelvic of the first living object;

vertically positioning the pelvic of the first living object;

posturing the legs of the first living object;

while

applying at least one of the posturing rules for each of the movements, and checking at least one of a plurality of constraints associated with each of the movements.

16. The computerized method of claim 15, wherein the plurality of constraints are selected from the group consisting of:

a balance for the first living object;

a location of a barrier;

a sight line for the first living object;

reachability of the target;

physiological correctness; and

a strength of the first living object.

17. The computerized method of claim 15, further comprising adjusting an intermediate posture of the first living object based on a result of the checking step.

18. The computerized method of claim 15, wherein the plurality of movements further comprises posturing the head of the first living object.

19. The computerized method of claim 15, wherein the living object is a human.