System for capturing the movement pattern of a person
A system and a method for capturing a movement pattern of a person. The method comprises capturing a plurality of images of the person executing a movement pattern by means of a non-contact sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated.
1. A computer-implemented method for capturing a movement pattern of a person, the movement pattern comprising movements of body elements of the person, the method comprising the following:
capturing a plurality of images of the person when executing a movement pattern by means of a non-contact sensor, the plurality of images representing the movements of the body elements of the person;
generating at least one skeleton model having limb positions for at least some of the plurality of images;
calculating the movement pattern from the movements of the body elements of the person by comparing the changes in the limb positions in the at least one generated skeleton model;
comparing the calculated movement pattern to a predetermined movement pattern stored in a memory; and
a notification of when the movements in the captured movement pattern deviate from the movements in the predetermined movement pattern, wherein the number of output messages depends on the number and type of detected deviations of the movements.
2. The method of claim 1 , wherein the movement pattern is a gait pattern.
3. The method of claim 1 , wherein calculating the movement pattern comprises evaluating movements of the body elements over at least one complete gait cycle.
4. A method according to claim 1 , further comprising detecting at least one walking aid in the plurality of images by means of comparison to walking aid models.
5. The method of claim 3 , further comprising coherently evaluating the at least one walking aid and at least one foot skeleton point obtained from the skeleton model.
6. The method of claim 4 , wherein the evaluation comprises determining a difference between the at least one foot skeleton point and a ground-level end point of the at least one walking aid.
7. The method of claim 6 , wherein the difference is determined in the sagittal plane.
8. The method of claim 5 , wherein the evaluation is performed at a time of placement on the ground.
9. Apparatus for carrying out the method according to claim 1 .
10. A system for capturing a movement pattern of a person, the movement pattern comprising movements of body elements of the person, the system comprising the following:
at least one sensor for the non-contact capture of a large quantity of images of the person executing a movement pattern, with the quantity of images representing the movements of the body elements of the person;
a memory;
a processor, the processor executing a software-based evaluation module for calculating movements of the body elements of the person by comparing the generated skeleton models; and
an output unit for outputting messages upon detecting deviations between the movements of body elements and the predetermined movement pattern, wherein the output unit comprises at least one of a speaker, a display, and a projector, and wherein the number of the output messages depends on the number and type of detected deviations of the movements.
11. The system of claim 10 , wherein the movement pattern is a gait pattern.
12. The system of claim 10 , wherein the software-based evaluation module running on the processor, when operated, evaluates the positions of the body elements with the aid of walking aids over at least one gait cycle.
13. A system according to claim 10 , wherein the software-based evaluation module running on the processor evaluates a symmetry of the movement of the body elements during operation.
14. System according to claim 10 wherein the processor is further configured to process a segmentation algorithm for recognizing objects in the plurality of images.
15. The system of claim 10 , wherein the sensor is at least a 2D camera, a depth camera, an ultrasonic sensor, a radar sensor, or a LIDAR sensor.