Analysing seating using pressure sensors

• US 9,486,160 B2
• Filed: 06/06/2013
• Issued: 11/08/2016
• Est. Priority Date: 06/09/2012
• Status: Active Grant

• Current Assignee: Xsensor Technology Corp
• Original Assignee: Xsensor Technology Corp
• Inventors: Russell, Terence
• Primary Examiner(s): Le, John H
• Application Number:
  US13/912,069
• Publication Number:
  US 20130332104A1
• Time in Patent Office: 1,251 Days
• Field of Search: 702/127, 702/138, 702/391, 340/573.1, 600/301, 600/587, 600/595
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0252 Load cells
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/6893 Cars
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence

Abstract

A pressure sensor measures the surface pressure distribution of a body supported by a surface, for example a person sitting on an automotive seating. In one approach, a pressure mapping system presents this pressure data in the form of a pressure map. The pressure map can be aligned to an image of the automotive seating including measurement zones of interest. The measurement zones of interest are mapped onto a human body model, which may include various body zones. In this way, the pressure distribution on different body zones can be visualized and interpreted to assess the performance of the automotive seating.

Claims

1. A computer-implemented method for analyzing automotive seating comprising a computer system automatically performing the steps of:

displaying a seating image to a user;

providing a user interface to allow the user to graphically locate anchor points on the displayed seating image;

receiving a signal including a location of the anchor points on a pressure sensor, the pressure sensor having an array of individual pressure sensing elements used to measure pressures on the seating;

accessing a pressure map of the pressures measured by the pressure sensor;

determining a first mapping of locations on the pressure map to locations on the seating, based on the location of the anchor points on the pressure sensor and on the seating image; and

calculating performance metrics for the seating, based on the pressure map and the first mapping of the pressure map to the seating.

2. The method of claim 1 wherein the seating is divided into seating zones;

and the step of calculating performance metrics for the seating comprises calculating performance metrics for the seating zones.

3. The method of claim 1 further comprising:

accessing a second mapping of the seating to a human body model; and

calculating performance metrics for the human body model, based on the performance metrics calculated for the seating and on the second mapping of the seating to the human body model.

4. The method of claim 3 wherein the seating is divided into seating zones, the step of calculating performance metrics for the seating comprises calculating performance metrics for the seating zones, the human body model is divided into body zones, the second mapping of the seating to the human body model includes a third mapping of seating zones to body zones;

the method further comprising;

calculating performance metrics for the body zones, based on the performance metrics calculated for the seating zones and on the third mapping of the seating zones to the body zones.

5. The method of claim 1 wherein the step of receiving a location of the anchor points on a pressure sensor comprises:

receiving coordinates of the anchor points input by the user.

6. The method of claim 1 wherein the step of receiving a location of the anchor points on a pressure sensor comprises:

instructing the user to apply pressure to the anchor points; and

calculating the location of the anchor point on the pressure sensor based on the user'"'"'s applied pressure measured by the pressure sensor.

7. The method of claim 1 wherein the performance metric is a measure of pressure.

8. The method of claim 1 wherein the performance metric is a measure of pressure gradient.

9. The method of claim 1 wherein the performance metric is a measure of pressure distribution.

10. The method of claim 1 wherein the performance metric is a measure of contact area.

11. The method of claim 1 wherein the seating includes a seat and a backrest, and the seating image includes an image of the seat and a separate image of the backrest.

12. The method of claim 1 wherein the seating includes at least one of a headrest, an armrest, a footrest and a floormat area.

13. The method of claim 1 wherein the pressure sensor is a capacitive pressure sensor.

14. The method of claim 1 wherein the seating image is selected from a library of images of different seating.

15. The method of claim 14 wherein the library further comprises a division of the different seating into seating zones.

16. The method of claim 14 further comprising:

accessing a second mapping of the seating to a human body model, the human body model accessed from a library of human body models; and

calculating performance metrics for the human body model, based on the performance metrics calculated for the seating and on the second mapping of the seating to the human body model.

17. The method of claim 1 further comprising:

displaying the calculated performance metrics overlaid on the seating image.

18. The method of claim 1 wherein the seating is divided into seating zones;

and the step of calculating performance metrics for the seating comprises calculating performance metrics for the seating zones, the method further comprising;

displaying the calculated performance metrics overlaid on an image of the seating zones.

19. The method of claim 1 further comprising:

accessing a second mapping of the seating to a human body model;

calculating performance metrics for the human body model, based on the performance metrics calculated for the seating and on the second mapping of the seating to the human body model; and

displaying the calculated performance metrics for the human body model overlaid on an image of the human body model.

20. A system for analyzing automotive seating, comprising:

a pressure sensor having an array of individual pressure sensing elements used to measure pressures on the seating;

a sensor electronics unit in communication with the pressure sensor, the sensor electronics unit receiving the pressure measurements from the pressure sensor; and

a computer in communication with the sensor electronics unit, the computer performing the steps of;

displaying an image of the seating to a user;

providing a user interface to allow the user to graphically locate anchor points on the displayed seating image;

receiving a signal including a location of the anchor points on the pressure sensor;

accessing a pressure map of the pressures measurements;

determining a mapping of locations on the pressure map to locations on the seating, based on the location of the anchor points on the pressure sensor and on the seating image; and

calculating performance metrics for the seating, based on the pressure map and the mapping of the pressure map to the seating.

21. A tangible non-transient computer readable storage medium storing instructions that, when executed, cause a computer system to perform the steps of:

displaying a seating image to a user;

providing a user interface to allow the user to graphically locate anchor points on the displayed seating image;

receiving a signal including a location of the anchor points on a pressure sensor, the pressure sensor having an array of individual pressure sensing elements used to measure pressures on the seating;

accessing a pressure map of the pressures measured by the pressure sensor;

determining a mapping of locations on the pressure map to locations on the seating, based on the location of the anchor points on the pressure sensor and on the seating image; and

calculating performance metrics for the seating, based on the pressure map and the mapping of the pressure map to the seating.