System and method for monitoring individual's daily activity
AssigneeZe Corractions Ltd.
InventorEldad Izhak HOCHMAN
Life of this patent
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Abstract
A monitoring system and method are presented for monitoring an individual's activity. The monitoring system comprises a control system configured as a computer system, and being configured and operable to be responsive to input data comprising sensing data collected over time from at least a part of individual's body by one or more sensors of predetermined one or more types and being indicative of a motion pattern characterizing a certain activity of the individual, to process the input data and generate output data indicative of a cognitive error detection by the individual in said activity characterizing a cognitive operational state of the individual during said activity.
Claims37
A monitoring system for monitoring an individual's activity, the monitoring system comprising a control system configured as a computer system comprising data input and output utilities, a memory, and a data processor and analyzer, the control system being configured and operable to be responsive to input data comprising sensing data collected over time from at least a part of individual's body by one or more sensors of predetermined one or more types and being indicative of a motion pattern characterizing a certain activity of the individual, to process said input data by applying thereto at least one machine learning model and generate output data indicative of a cognitive error detection by said individual in said activity characterizing a cognitive operational state of the individual during said activity.
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A method for monitoring an individual's activity, the method being carried out by a computerized system being in data communication with one or more measured data providers, the method comprising:
- receiving, from the measured data provider, input data comprising motion patterns measured over time from at least a part of individual's body by a sensing system comprising one or more sensors of predetermined one or more types and being indicative of motion characterizing the individual's activity;
- processing said input data and generating output data indicative of a cognitive error detection by said individual in said activity characterizing a cognitive operational state of the individual during said activity, said processing comprising:
- analyzing the motion patterns, and, upon identifying that the motion patterns comprise a pattern corresponding to a goal directed movement performed by the individual during said activity, generating corresponding decision data;
- processing the goal directed motion pattern by applying thereto at least one machine learning model to identify one or more predetermined segments in the goal directed movement pattern, and process said predetermined segments to identify whether said one or more predetermined segments are indicative of movements cognitively recognizable by the individual as error-related movements, and upon identifying data indicative of the movements cognitively recognizable by the individual as error-related movements, generating output data indicative of error-related motion pattern enabling evaluation of the operational state of the individual.
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A non-transitory program storage device readable by a computer, tangibly embodying a program of instructions executable by the computer to perform a method of detection of movements cognitively recognizable by an individual as error-related movements, the method comprising:
- obtaining input data comprising motion patterns measured over time from at least a part of individual's body by one or more sensors of predetermined one or more types and being indicative of motion characterizing a certain activity of an individual;
- analyzing the motion patterns, and, upon identifying that the motion patterns comprise a pattern corresponding to a goal directed movement performed by the individual during said activity, generating corresponding decision data;
- identifying predetermined segments in the goal directed movement pattern, and processing said predetermined segments, and, upon determining that said predetermined segments are indicative of movements cognitively recognizable by the individual as error-related movements, generating output data indicative of error-related motion pattern enabling evaluation of the operational state of the individual.
A computer program product comprising a non-transitory computer useable medium having computer readable program code embodied therein for detection of movements cognitively recognizable by an individual as error-related movements, the computer program product comprising:
- computer readable program code for causing the computer to obtain input data comprising motion patterns measured over time from at least a part of individual's body by one or more sensors of predetermined one or more types and being indicative of motion characterizing a certain activity of an individual;
- computer readable program code for causing the computer to analyze the motion patterns, and, upon identifying that the motion patterns comprise a pattern corresponding to a goal directed movement performed by the individual during said activity, generating corresponding decision data;
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- computer readable program code for causing the computer to identify predetermined segments in the goal directed movement pattern, and process said predetermined segments, and, upon determining that said predetermined segments are indicative of movements cognitively recognizable by the individual as error-related movements, generate output data indicative of error-related motion pattern indicative of the operational state of the individual.
Dependencies are inferred from the claim text.