Invention Grant
- Patent Title: Obtaining metrics for a position using frames classified by an associative memory
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Application No.: US14573591Application Date: 2014-12-17
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Publication No.: US09911031B2Publication Date: 2018-03-06
- Inventor: John Desmond Whelan , Glenn Alan Hancock
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: THE BOEING COMPANY
- Current Assignee: THE BOEING COMPANY
- Current Assignee Address: US IL Chicago
- Agency: Yee & Associates, P.C.
- Main IPC: G06T7/20
- IPC: G06T7/20 ; G06K9/62 ; A61B5/11 ; G06K9/00 ; G06F3/01 ; G06T1/60 ; G06F12/0817 ; A61B5/00 ; G06T7/70

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.
Public/Granted literature
- US20160070958A1 OBTAINING METRICS FOR A POSITION USING FRAMES CLASSIFIED BY AN ASSOCIATIVE MEMORY Public/Granted day:2016-03-10
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