Abstract: Computer-aided telemedical evaluation is described. A computing environment can receive a video comprising frames of a subject in motion. The computing environment can identify one or more anatomical features of the subject and determine one or more gait cycle patterns for the anatomical features by tracking motion of the anatomical features over a number of frames of the video. The computing environment can also examine the gait cycle patterns to identify symmetry, asymmetry, and other characteristics in the gait cycle patterns with respect to each other, the anatomical features of the subject, and/or inanimate features of the surroundings. Based on the examination, the computing environment can also provide an evaluation of the subject in the video. The evaluation can include the identification of one or more limbs associated with lameness in the subject. Care can then be administered to the subject, in part, based on the evaluation.

Abstract: Computer-aided telemedical evaluation is described. A computing environment can receive a video comprising frames of a subject in motion. The computing environment can identify one or more anatomical features of the subject and determine one or more gait cycle patterns for the anatomical features by tracking motion of the anatomical features over a number of frames of the video. The computing environment can also examine the gait cycle patterns to identify symmetry, asymmetry, and other characteristics in the gait cycle patterns with respect to each other, the anatomical features of the subject, and/or inanimate features of the surroundings. Based on the examination, the computing environment can also provide an evaluation of the subject in the video. The evaluation can include the identification of one or more limbs associated with lameness in the subject. Care can then be administered to the subject, in part, based on the evaluation.