OBTAINING METRICS FOR A POSITION USING FRAMES CLASSIFIED BY AN ASSOCIATIVE MEMORY
First Claim
1. A method for identifying a motion of interest of an individual, comprising:
- receiving input data from a non-invasive motion sensor measuring movements of a person;
collecting motion sensor data for an interval of time;
analyzing the motion sensor input data using an analysis application having a set of classified pre-determined motions, where the analysis application classifies a movement captured during the interval of time as a motion corresponding to particular a pre-determined motion among a plurality of pre-determined motions, wherein classification is performed based on shared relative values among the motion sensor input data and the particular pre-determined motion; and
generating an output that provides a translation of the movement for identification of a predetermined motion of interest that represents an undesirable ergonomic aspect.
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Abstract
A method for identifying a motion of interest of an individual. The method includes receiving input data from a non-invasive motion sensor measuring movements of a person. The method also includes collecting motion sensor data for an interval of time. The illustrative embodiments also provide for analyzing the motion sensor input data using an analysis application having a set of classified pre-determined motions. The analysis application classifies a movement captured during the interval of time as a motion corresponding to particular a pre-determined motion among a plurality of pre-determined motions. Classification is performed based on shared relative values among the motion sensor input data and the particular pre-determined motion. The illustrative embodiments also provide for generating an output that provides a translation of the movement for identification of a predetermined motion of interest that represents an undesirable ergonomic aspect.
50 Citations
22 Claims
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1. A method for identifying a motion of interest of an individual, comprising:
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receiving input data from a non-invasive motion sensor measuring movements of a person; collecting motion sensor data for an interval of time; analyzing the motion sensor input data using an analysis application having a set of classified pre-determined motions, where the analysis application classifies a movement captured during the interval of time as a motion corresponding to particular a pre-determined motion among a plurality of pre-determined motions, wherein classification is performed based on shared relative values among the motion sensor input data and the particular pre-determined motion; and generating an output that provides a translation of the movement for identification of a predetermined motion of interest that represents an undesirable ergonomic aspect. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus for identifying a motion of interest of an individual, comprising:
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a non-invasive motion sensor; a processor in communication with the motion sensor, being configured to collect motion sensor data of a person for an interval of time; and an associative memory configured to analyze the motion sensor input data, the associative memory storing a set of classified pre-determined motions, where the associative memory is configured to classify a movement captured during the interval of time as a motion corresponding to a particular pre-determined motion among a plurality of pre-determined motions, wherein classification is performed by comparing shared relative values among the motion sensor input data and the particular pre-determined motion. - View Dependent Claims (14, 15, 16, 17, 18)
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19. A method for assisting physical therapy for a motion of interest of an individual, the method comprising:
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receiving input data of movements of the individual from a non-invasive motion sensor; collecting motion sensor data for an interval of time; analyzing the motion sensor data using an analysis application having a set of classified pre-determined motions of interest, where the analysis application classifies a movement of the individual captured during the interval of time by comparing the movement to a pre-determined motion of interest among the set of classified pre-determined motions of interest, wherein classification is performed by comparing shared relative attributes among the movement and a pre-determined motion of interest in the set of classified pre-determined motions of interest; determining whether the movement captured during the interval of time corresponds to a correct performance of a predetermined therapeutic movement; and generating an output indicating whether the individual has correctly performed the predetermined therapeutic motion. - View Dependent Claims (20, 21, 22)
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Specification