{
  "$type": "site.standard.document",
  "description": "A segmented image (42) of an occupant in a vehicle is input to a k-metric module (60) which generates upper and lower torso metrics with occupant classification. An iterative parameter estimator (66) generates upper and lower torso parameters from the metrics. A pixel classifier (72) generates…",
  "path": "/patents/1088101",
  "publishedAt": "2004-04-14T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60R21/01538",
    "EATON CORP [US]"
  ],
  "textContent": "A segmented image (42) of an occupant in a vehicle is input to a k-metric module (60) which generates upper and lower torso metrics with occupant classification. An iterative parameter estimator (66) generates upper and lower torso parameters from the metrics. A pixel classifier (72) generates upper torso image from the generated torso parameters in order to obtain occupant characteristics. Independent claims are also included for the following: (1) occupant tracking and airbag deployment system; and (2) upper torso image identifying method.",
  "title": "Occupant labeling for airbag-related applications"
}