Intelligent work surfaces

• US 5,479,528 A
• Filed: 07/22/1994
• Issued: 12/26/1995
• Est. Priority Date: 12/13/1991
• Status: Expired due to Fees

• Current Assignee: AT&T IPM Corp. (AT&T, Inc.)
• Original Assignee: AT&T Corporation (AT&T, Inc.)
• Inventors: Speeter, Thomas H.
• Primary Examiner(s): COUSO, YON JUNG
• Application Number:
  US08/279,458
• Time in Patent Office: 522 Days
• Field of Search: 382/2, 382/1, 382/58, 382/115, 382/123, 382/124, 382/312, 73/862.046, 73/862.53, 356/376, 364/561, 364/413
• US Class Current: 382/115
• CPC Class Codes: G06F 3/033 Pointing devices displaced or positioned by the user , e.g. mice, trackballs, pens or joysticks; Accessories therefor digitisers characterised by the transducing means G06F3/041
• CPC Class Codes: G06F 3/041 Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
• CPC Class Codes: G06F 3/04144 using an array of force sensing means position sensing using the local deformation of sensor cells G06F3/0447
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

Methods and apparatus for implementing intelligent work surfaces are provided. Work surfaces, such as desktops and floors, are covered with a tactile sensing array to provide tactile data to a processor. Regions on the sensing arrays may be defined to include predetermined sensing elements of the sensing array and may be specified to function as input devices, such as a keyboard, a mouse, or the like. Once defined, regions may be redefined to reposition a specified input device. Regions also may be respecified to function as a different input device. The arrays also may collect data at predetermined intervals for analysis, such as for identifying an individual or an object. For example, the force-image of an individual'"'"'s handprint or footprint could be taken, analyzed, and compared against data representing the force-images of known individuals.

Claims

1. A method for identifying a person, comprising the steps of:

sampling a tactile sensor array to record a force-image of a handprint that is characteristic of the person, tactile sensor array comprising a plurality of sensing elements;

determining from the recorded force-image information characteristic of the person;

comparing the information characteristic of the person with information characteristic of known individuals; and

identifying the person as one of the known individuals on the basis of the comparing step,

wherein the determining step comprises;

defining an origin at a centroid of the force-image;

determining a set of principle axes of the force-image;

performing connected region analysis on the force-image to separate the force-image into a plurality of connected regions;

identifying the connected regions corresponding to fingertips of the force-image;

identifying a pixel of each fingertip that is spaced furthest from the origin;

calculating the distances between a predetermined point on the force-image and the pixel of each fingertip that is spaced furthest from the origin; and

calculating the width of the palm of the force-image.

2. The method of claim 1, wherein the sampling step comprises:

summing pixels output from successive samples of the sensor array to produce the force-image;

subtracting a predetermined value from each non-zero pixel;

setting to zero all pixels having a value less than zero; and

setting to one all non-zero pixels.

3. A method for identifying a person, comprising the steps of:

sampling a tactile sensor array to record a force-image that is characteristic of the person;

determining from the recorded force-image information characteristic of the person;

comparing the information characteristic of the person with information characteristic of known individuals; and

identifying the person as one of the known individuals on the basis of the comparing step,

wherein the determining step comprises;

defining an origin at a centroid of the first force-image of the series of sequential force-images;

calculating for each succeeding force-image;

a centroid of the force-image, the distance between the centroid of the force-image and the origin, and a sum of all pixel values of the force-image; and

correlating for each force-image the sum and the distance between the centroid of the force-image and the origin, to characterize the person.

4. The method of claim 3, further comprising the step of reinterpolating the sum and the distance to obtain data values at predetermined intervals for characterizing the person.