78 research outputs found

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

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    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

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    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

    Automatic speech recognition system for controlling a robotic system using Romanian

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    In this paper, we describe a proposed Automatic Speech Recognition system that can be used to give vocal commands to a robotic system. The system was specially created to use Romanian as the main language with respect to its particularities: specific phonetic rules and large variety of accents. The main purpose of the system is to act as a touch-less interface for a demonstrative robotic system. This interface was designed to allow a remote human user to give simple commands to the robotic system without any physical contact with the robot. There are more ways to create an Automatic Speech Recognition System but, given the complexity of the task, the methods that were used had to be reliable and this is the reason while the Hidden Markov Models approach was chosen. The current status of the project allows a remote user to give simple commands to the experimental robot using a microphone, a laptop or a PDA and wireless connection
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