Scoring metric for physical activity performance and tracking
AssigneeSmith & Nephew, Inc.
InventorsBrett Juhas, Sudipto Sur
Life of this patent
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Abstract
Certain aspects of the present disclosure provide a method for assessing the performance of a physical activity, including: recording motion capture data while a training subject demonstrates a physical activity sequence; identifying one or more primary body elements based on the motion capture data; deriving one or more path characteristic metrics based on a state variable set and the one or more primary body elements, wherein the state variable set defines the state of a body at any given time; and defining an ideal activity path of the physical activity sequence based on the one or more path characteristic metrics.
Claims20
An apparatus comprising:
- at least one processor;
- a memory coupled to the at least one processor, the memory comprising instructions that, when executed by the at least one processor, cause the at least one processor to:
- access training motion capture data of a plurality of samples of a body of at least one training subject performing a physical activity sequence comprising a sequence of states,
- determine at least one primary body element for the physical activity sequence, and
- determine a path tracking model configured to numerically represent a path of the at least one primary body element as the body performs the physical activity sequence, the path tracking model determined via:
- determining at least one path characteristic metric of the at least one primary body element during each of the sequence of states, the at least one path characteristic metric comprising a numeric variable defining state information of the at least one primary body element during one of the sequence of states, and
- determining an ideal activity path of the physical activity sequence, the ideal activity path comprising an ordered sequence of the at least one path characteristic metric during the sequence of states normalized with respect to time for each of the plurality of samples to associate the ideal activity path with a time component expressed as a percentage of completion.
A computer-implemented method, comprising, via at least one processor of a computing device:
- accessing training motion capture data of a plurality of samples of a body of at least one training subject performing a physical activity sequence comprising a sequence of states,
- determining at least one primary body element for the physical activity sequence, and
- determining a path tracking model configured to numerically represent a path of the at least one primary body element as the body performs the physical activity sequence, the path tracking model determined via:
- determining at least one path characteristic metric of the at least one primary body element during each of the sequence of states, the at least one path characteristic metric comprising a numeric variable defining state information of the at least one primary body element during one of the sequence of states, and
- determining an ideal activity path of the physical activity sequence, the ideal activity path comprising an ordered sequence of the at least one path characteristic metric during the sequence of states normalized with respect to time for each of the plurality of samples to associate the ideal activity path with a time component expressed as a percentage of completion.
Dependencies are inferred from the claim text.