Patent Document ID: 20160189371
Application ID: 14797365
Patent Status: 0

Claim One:
1. A method for predicting one or more neurological disorders via a processor configured to execute program instructions stored in a memory, the method comprising: receiving, via the processor, one or more videos of one or more individuals; splitting, via the processor, the one or more videos into one or more frames; detecting, via the processor, one or more regions of interest in each of the one or more frames; analyzing, via the processor, each of the one or more regions of interest in each of the one or more frames by: determining a motion vector for each of the one or more regions of interest in a set of successive frames; and comparing value of the determined motion vector for each of the one or more regions of interest with corresponding pre-stored values, wherein the pre-stored values for the motion vector for each of the one or more regions are pre-stored in a database; identifying, via the processor, at least one motion vector, from the determined motion vectors, that matches with a pre-stored value of a motion vector thereby identifying a region of interest and a frame corresponding to the identified at least one motion vector, wherein the pre-stored value indicates onset of an expression; determining, via the processor, one or more motion vectors for the identified region of interest in subsequent sets of successive frames; comparing, via the processor, value of the one or more determined motion vectors for the identified region of interest with at least one of a pre-stored value of motion vector corresponding to peak and a pre-stored value of motion vector corresponding to offset of the indicated expression; identifying, via the processor, the frame corresponding to the at least one of: the peak of the indicated expression and the offset of the indicated expression; and generating, via the processor, a pictorial representation of the one or more videos depicting at least one of: the onset, peak and offset of the indicated expression of the one or more individuals captured in the one or more videos for predicting the one or more neurological disorders.