Invention Grant
- Patent Title: Method and system for hand pose detection
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Application No.: US15380002Application Date: 2016-12-15
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Publication No.: US10318008B2Publication Date: 2019-06-11
- Inventor: Ayan Sinha , Chiho Choi , Joon Hee Choi , Karthik Ramani
- Applicant: Purdue Research Foundation
- Applicant Address: US IN West Lafayette
- Assignee: Purdue Research Foundation
- Current Assignee: Purdue Research Foundation
- Current Assignee Address: US IN West Lafayette
- Agency: Maginot, Moore & Beck LLP
- Main IPC: G06F3/01
- IPC: G06F3/01 ; G06N99/00 ; G06K9/66 ; G06K9/46 ; G06K9/00 ; H04N13/271

Abstract:
A method for hand pose identification in an automated system includes providing depth map data of a hand of a user to a first neural network trained to classify features corresponding to a joint angle of a wrist in the hand to generate a first plurality of activation features and performing a first search in a predetermined plurality of activation features stored in a database in the memory to identify a first plurality of hand pose parameters for the wrist associated with predetermined activation features in the database that are nearest neighbors to the first plurality of activation features. The method further includes generating a hand pose model corresponding to the hand of the user based on the first plurality of hand pose parameters and performing an operation in the automated system in response to input from the user based on the hand pose model.
Public/Granted literature
- US20170168586A1 Method and System for Hand Pose Detection Public/Granted day:2017-06-15
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