Systems and methods for identifying body joint locations based on sensor data analysis
Systems and methods for identifying body joint locations based on sensor data analysis are provided. Systems and methods for identifying body joint location includes obtaining skeletal data (202), depth data and red, green, and blue (RGB) data pertaining to a user, obtaining, using input data, an es...
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creator | SINHA, Aniruddha DAS, Abhijit SINHA, Sanjana BHOWMICK, Brojeshwar CHAKRAVARTY, Kingshuk |
description | Systems and methods for identifying body joint locations based on sensor data analysis are provided. Systems and methods for identifying body joint location includes obtaining skeletal data (202), depth data and red, green, and blue (RGB) data pertaining to a user, obtaining, using input data, an estimate of body joint locations (BJLs) and body segment lengths (BSLs), iteratively identifying (206), based on the depth data and RGB data, probable correct BJLs in a bounded neighborhood around BJLs that are previously obtained, comparing (208) a body segment length associated with the probable correct BJLs and a reference length, identifying candidate BJLs based on comparison, determining a physical orientation of each body segment by segmenting three dimensional (3D) coordinates of each body segment based on the depth data and performing an analysis on each segmented 3D coordinate. A corrected BJL is identified based on a minimal deviation in direction from the physical orientation of a corresponding body segment along with a feature descriptor of the RGB data and depth data. 12687263/P259156 PROCESSOR(S) INTERFACE(S) 12625846/P258156 |
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Systems and methods for identifying body joint location includes obtaining skeletal data (202), depth data and red, green, and blue (RGB) data pertaining to a user, obtaining, using input data, an estimate of body joint locations (BJLs) and body segment lengths (BSLs), iteratively identifying (206), based on the depth data and RGB data, probable correct BJLs in a bounded neighborhood around BJLs that are previously obtained, comparing (208) a body segment length associated with the probable correct BJLs and a reference length, identifying candidate BJLs based on comparison, determining a physical orientation of each body segment by segmenting three dimensional (3D) coordinates of each body segment based on the depth data and performing an analysis on each segmented 3D coordinate. 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Systems and methods for identifying body joint location includes obtaining skeletal data (202), depth data and red, green, and blue (RGB) data pertaining to a user, obtaining, using input data, an estimate of body joint locations (BJLs) and body segment lengths (BSLs), iteratively identifying (206), based on the depth data and RGB data, probable correct BJLs in a bounded neighborhood around BJLs that are previously obtained, comparing (208) a body segment length associated with the probable correct BJLs and a reference length, identifying candidate BJLs based on comparison, determining a physical orientation of each body segment by segmenting three dimensional (3D) coordinates of each body segment based on the depth data and performing an analysis on each segmented 3D coordinate. A corrected BJL is identified based on a minimal deviation in direction from the physical orientation of a corresponding body segment along with a feature descriptor of the RGB data and depth data. 12687263/P259156 PROCESSOR(S) INTERFACE(S) 12625846/P258156</abstract><oa>free_for_read</oa></addata></record> |
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title | Systems and methods for identifying body joint locations based on sensor data analysis |
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