METHOD AND SYSTEM FOR INDUSTRIAL ERGONOMICS RISK ROOT-CAUSE ANALYSIS AND MANAGEMENT USING ARTIFICIAL INTELLIGENCE ORIENTED NATURAL LANGUAGE PROCESSING TECHNIQUES

Abstract A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server syste...

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Hauptverfasser: PARIKH, Pulkit Trushantkumar, BARKER, Richard Thomas, PENFIELD, Julia
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creator PARIKH, Pulkit Trushantkumar
BARKER, Richard Thomas
PENFIELD, Julia
description Abstract A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes. coC\ C 4-T 40 Y )N 0 -~ _0 (D 0 O .0~ -%cn(D ( cu~~0 0)_ q D C/ ) 0 a 0X o' _F CU co0-0)( W 70 J 0 -eC-) cn0) ci) co 0Coi) 4- -j-0o 0) Ci) Ci)n C)~ cu=34 0 _ UO)) ux ci) 4-~ 0 0) 'ci 0 C/) C/) a) Uu
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and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes. coC\ C 4-T 40 Y )N 0 -~ _0 (D 0 O .0~ -%cn(D ( cu~~0 0)_ q D C/ ) 0 a 0X o' _F CU co0-0)( W 70 J 0 -eC-) cn0) ci) co 0Coi) 4- -j-0o 0) Ci) Ci)n C)~ cu=34 0 _ UO)) ux ci) 4-~ 0 0) 'ci 0 C/) C/) a) Uu</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title METHOD AND SYSTEM FOR INDUSTRIAL ERGONOMICS RISK ROOT-CAUSE ANALYSIS AND MANAGEMENT USING ARTIFICIAL INTELLIGENCE ORIENTED NATURAL LANGUAGE PROCESSING TECHNIQUES
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