Natural language processing of a motion alphabet for unsupervised clinical scoring
AssigneeInternational Business Machines Corporation
InventorsAvner Abrami, Vittorio Caggiano, John Jeremy Rice
Life of this patent
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Abstract
Techniques that facilitate natural language processing of a motion alphabet for unsupervised clinical scoring are provided. In one example, a system converts sensor data from one or more movement capturing devices associated with a user identity into symbolic data indicative of a symbolic representation of the sensor data. The system also analyzes the symbolic data associated with the one or more movement capturing devices based on a symbolic analysis technique.
Claims20
A system, comprising:
- a memory that stores computer executable components;
- a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise:
- a measurement component that converts sensor data from one or more movement capturing devices associated with a user identity into symbolic data indicative of a symbolic representation of the sensor data;
- and
- an analysis component that analyzes the symbolic data associated with the one or more movement capturing devices based on a symbolic analysis technique.
A computer-implemented method, comprising:
- converting, by a system operatively coupled to a processor, sensor data from one or more sensors associated with a user identity into symbolic data indicative of a symbolic representation of the sensor data;
- and
- analyzing, by the system, the symbolic data associated with the one or more sensors based on a natural language processing technique.
A computer program product facilitating natural language processing of a motion alphabet for unsupervised clinical scoring, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
- convert, by the processor, sensor data from one or more sensors associated with a user identity into symbolic data indicative of a symbolic representation of the sensor data;
- analyze, by the processor, the symbolic data associated with the one or more sensors based on a natural language processing technique;
- and
- determine, by the processor, whether the sensor data satisfies a defined criterion associated with a medical condition based on analysis of the symbolic data associated with the natural language processing technique.
Dependencies are inferred from the claim text.