A multi-agent system for a recognition of hand postures of the Polish Sign Language is presented in the paper. The system is based on a syntactic pattern recognition approach, namely on parsable ETPL(k) graph grammars. An occurrence of a variety of styles of performing hand postures requires an introduction of many grammar productions that differ each from other slightly. This makes a construction of a grammar within a parsable class ETPL(k) dubious. Dividing a whole grammar into sub-grammars and distributing them to agents allows one to solve the problem
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Ze...
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Ze...
This work proposes to learn linguistically-derived sub-unit classifiers for sign language. The respo...
Real-time syntactic pattern recogniton imposes strict computing time constraints on new techniques d...
We present a novel user independent framework for representing and recognizing hand postures used in...
We present a novel user independent framework for representing and recognizing hand postures used in...
We present a novel user independent framework for representing and recognizing hand postures used in...
Fröhlich M, Wachsmuth I. Gesture recognition of the upper limbs - From signal to symbol. In: Wachsmu...
Hand pose tracking is essential in sign languages. An automatic recognition of performed hand signs ...
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing...
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing...
A shape distribution is a histogram used to uniquely identify different shapes. The histogram is pro...
Current approaches to sign recognition by computer generally have at least some of the following lim...
This thesis presents an interactive sign language tutor that visually verifies the user's sign produ...
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealin...
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Ze...
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Ze...
This work proposes to learn linguistically-derived sub-unit classifiers for sign language. The respo...
Real-time syntactic pattern recogniton imposes strict computing time constraints on new techniques d...
We present a novel user independent framework for representing and recognizing hand postures used in...
We present a novel user independent framework for representing and recognizing hand postures used in...
We present a novel user independent framework for representing and recognizing hand postures used in...
Fröhlich M, Wachsmuth I. Gesture recognition of the upper limbs - From signal to symbol. In: Wachsmu...
Hand pose tracking is essential in sign languages. An automatic recognition of performed hand signs ...
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing...
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing...
A shape distribution is a histogram used to uniquely identify different shapes. The histogram is pro...
Current approaches to sign recognition by computer generally have at least some of the following lim...
This thesis presents an interactive sign language tutor that visually verifies the user's sign produ...
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealin...
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Ze...
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Ze...
This work proposes to learn linguistically-derived sub-unit classifiers for sign language. The respo...