Surveillance system and method for predicting patient falls using motion feature patterns

  • US 10,055,961 B1
  • Filed: 11/28/2017
  • Issued: 08/21/2018
  • Est. Priority Date: 07/10/2017
  • Status: Active Grant
First Claim
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1. A surveillance system for detecting a fall risk condition, the system comprising:

  • a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored; and

    a computer system comprising memory and logic circuitry configured to;

    store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events;

    receive a fall alert from a classifier, the fall alert associated with the plurality of frames generated by the surveillance camera;

    determine motion features of one or more frames from the plurality of frames that correspond to the fall alert;

    compare the motion features of the one or more frames with the motion feature patterns; and

    determine whether to confirm the fall alert based on the comparison.

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