Patent · US Active

System and method for automated sign language recognition

US10109219B2 · kind B2 · utility

3Cited by

28References

13Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Zhengyu Zhou · Fremont, US
Tobias Menne · Halver, DE
Kehuang Li · Atlanta, US
Kui Xu · Sunnyvale, US
Zhe Feng · Shanghai, CN
Chin-Hui Lee · Berkeley Heights, US

Key dates

Filing date	Apr 15, 2016
Grant date	Oct 23, 2018
Priority date	—
Expiry date	Apr 15, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG10L15/24
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for sign language recognition includes receiving, with an input device, an input based on a plurality of hand movements and postures of a user that correspond to a sequence of signs, extracting a plurality of features from the input corresponding to the plurality of hand movements and postures, identifying, a start of the sequence of signs in the input based on a first set of features in the plurality of features and a first Hidden Markov Model (HMM) stored in the memory and identifying a first sign in the input based on a second set of features in the plurality of features and a second HMM stored in the memory. The method also includes generating an output corresponding to the first sign from the input.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.