ABSTRACT
Abstract ................................................................................................. 223 11.1 Introduction ................................................................................ 224 11.2 Haptic Immersion ....................................................................... 226 11.3 Learning and Expression Computations .................................... 236 11.4 Concluding Comments ............................................................... 243 Acknowledgments ................................................................................. 244 Keywords .............................................................................................. 244 References ............................................................................................. 244
ABSTRACT
The chapter presents novel modeling techniques for facial and visual expression computation and recognition. A haptic control virtual computing logic is applied with Nourani’s (1997) Morph Gentzen system to characterize facial and visual expressions. Agent trees computing logic carries visual structures via functions. Designated functions define computing haptic motion and ontology epistemics. Based on the functions on
the haptic computing logic we can state expression-spanning schemas, hereon called Eigen Schemas that on tuple characterize morph compose to characterize facial expressions. The Eigen schemas allow us to express or detect human emotions expressed on facials. The haptic logic encompasses a predictive Bayesian confidence on the characterizations. Genetic algorithms and neurocognitive bases for the above are presented in brief. The techniques are not competing cognitive psychology trends, rather new processing capabilities that facilitate for the preceding experimental cognitive psychologist or neurocognitive scientists to examine their methods with precise direct processor for facial expression recognition.
