It finds applications in various areas, such as face detection, face recognition, gesture recognition, expression recognition, face image compression and reconstruction, and face cartoon.
ATTITUDE IDENTIFICATION OF SPACECRAFT
The star simulation ia an experimental device on the ground that imitates star sky so as to test the function of flight vehicles' attitude identification system-star sensor.
In the past years,this technique has developed vastly and has been successfully applied in the fields of face recognition, pose recognition,expression recognition and face cartoon,etc.
Basing on it, we combined affective computing with the e-Learning system. The model of e-Learning system based on affective computing was constructed with facial expression recognition, e motion recognition of speech and motion recognition techniques. The key techniques were also introduced.
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Hand talk technology and EHMM gesture recognition approach are employed to realize the human computer interface.
As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc.
This paper presents a sign language recognition system which consists of three modules: model-based hand tracking, feature extraction, and gesture recognition using a 3D Hopfield neural network (HNN).
The major contribution in this paper is that we propose a 3D modified HNN for gesture recognition which is more reliable than the conventional methods.
This paper introduces a model-based hand gesture recognition system, which consists of three phases: feature extraction, training, and recognition.
An efficient posture recognition method using fuzzy logic
The developed system consists of several sections including: natural language processing, posture recognition, object localization and map generation.
A system for personindependent hand posture recognition against complex backgrounds.
A system for person-independent hand posture recognition against complex backgrounds.
By exploiting model-based tracking that is based on local image features our system can reduce errors that result from suboptimal posture recognition.