Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Space-variant active vision: definition, overview and examples
Neural Networks - Special issue: automatic target recognition
Recognizing Human Facial Expressions From Long Image Sequences Using Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Vergence Using Log-Polar Images
International Journal of Computer Vision
Neural network-based fuzzy observer with application to facial analysis
Pattern Recognition Letters
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Robot Vision
Multidimensional Digital Signal Processing
Multidimensional Digital Signal Processing
Soft Computing and Fuzzy Logic
IEEE Software
The stability study of biped robot based on GA and neural network
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
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Service robotic systems are exemplary human-in-the-loop systems in which various forms of interaction between human and the robotic system take place frequently. Due to variability of the user's physical motion and uncertainty of the environment, however, it is usually difficult to model the "interaction" and find appropriate interfaces to handle it. Recently, several soft computing techniques are applied to service robotic systems synergistically for comfortable interaction and safe operation. As a testbed, a new wheelchair-based robotic system is considered in this paper and various interaction/interface technologies are studied. Soft computing techniques are applied for recognizing facial emotional expression, for coordinating bio-signals with robotic motions, and for selecting a suitable image mapping in vision-based control. For demonstration, several experimental results and experiences are presented.