Patent ID: 9408561
Filing Date: 2016-08-09
CPC Classification: A61B

Claim Text:
1. A method comprising: receiving, by at least one processor, depth image data from at least one depth camera, wherein the depth image data comprises a plurality of frames that depict a person walking through a home environment over time, the frames comprising a plurality of pixels; performing, by the at least one processor, segmentation on the pixels of the frames; in response to the segmentation, (1) generating, by the at least one processor, a three-dimensional (3D) data object based on the depth image data, and (2) tracking, by the at least one processor, the 3D data object over a plurality of frames of the depth image data, wherein the tracked 3D data object comprises time-indexed spatial data that represents the person walking through the home environment over time; identifying, by the at least one processor, a walking sequence from the tracked 3D data object, wherein the identifying step comprises: analyzing, by the at least one processor, the time-indexed spatial data from the identified walking sequence to generate one or more gait parameters; and performing, by the at least one processor, at least one health risk assessment based on the one or more gait parameters to determine a health risk assessment score for the person.