Multi-Level Representation of Gesture as Command for Human Computer Interaction

oai:ojs.cai.ui.sav.sk:article/16The paper addresses the multiple forms of representation that human gesture takes at different levels for human computer interaction, ranging from gesture acquisition to mathematical model for analysis, pattern for recognition, record for database up to end-level application event triggers. A mathematical model for gesture as command is presented. We equally identify and provide particular models for four different types of gestures by considering both posture information and underlying motion trajectories. The problem of constructing gesture dictionaries is further addressed by taking into account similarity measures and dictionary discriminative features

Improving Computer Based Speech Therapy Using a Fuzzy Expert System

In this paper we present our work about Computer Based Speech Therapy systems optimization. We focus especially on using a fuzzy expert system in order to determine specific parameters of personalized therapy, i.e. the number, length and content of training sessions. The efficiency of this new approach was tested during an experiment performed with our CBST, named LOGOMON

Data Dimensionality Reduction for Data Mining: A Combined Filter-Wrapper Framework

Knowledge Discovery in Databases aims to extract new, interesting and potential useful patterns from large amounts of data. It is a complex process whose central point is data mining, which effectively builds models from data. Data type, quality and dimensionality are some factors which affect performance of data mining task. Since the high dimensionality of data can cause some troubles, as data overload, a possible solution could be its reduction. Sampling and filtering reduce the number of cases in a dataset, whereas features reduction can be achieved by feature selection. This paper aims to present a combined method for feature selection, where a filter based on correlation is applied on whole features set to find the relevant ones, and then, on these features a wrapper is applied in order to find the best features subset for a specified predictor. It is also presented a case study for a data set provided by TERAPERS a personalized speech therapy system