System and method for gesture recognition
US9323337B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 29, 2010 |
| Grant date | Apr 26, 2016 |
| Priority date | — |
| Expiry date | Feb 17, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for gesture spotting and recognition are provided. Systems and methods are also provided employing Hidden Markov Models (HMM) and geometrical feature distributions of a hand trajectory of a user to achieve adaptive gesture recognition. The system and method provide for acquiring a sequence of input images of a specific user and recognizing a gesture of the specific user from the sequence of input images based on a gesture model and geometrical features extracted from a hand trajectory of the user. State transition points of the gesture model are detected and the geometrical features of the hand trajectory of the user are extracted based on the relative positions of the detected state transition points and a starting point of the gesture. The system and method further provide for adapting the gesture model and geometrical feature distribution for the specific user based on adaptation data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.