Search Results for "recognition"

...FUBI is written in C++ and includes a C#-Wrapper. Releases are tested on Windows 8.1, but there also exist Linux Code::Blocks project files. Fubi's main functionality is gesture and posture recognition according to four gesture categories: 1. Static postures: Configuration of several joints (positions or orientations). 2. Linear/Angular movements: Linear movement of joints with specific direction and speed or angular movement around an axis. 3. Combination of postures and movements: Combines sets of 1 and 2 in a sequence of states with specific time constraints. 4. ...

A system for researching knowledge representation, language parsing, and derivation with a voice recognition front end. The front end, known as Grace, allows additional functionality to be developed to interact with the web, iTunes, etc.

TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.

EBBA is a project aiming to develop an advanced chatbot by combining AIML, 3d facial expressions, speech synthesizer, speech recognition and an iq-test solving functionality.

...During this project we use simulated quadrotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize capabilities of devices available today such as some pose measurement tools like Android Devices (with accelerometer, compass, etc), some gesture recognizer like whether simple cameras or some other tools for instance Microsoft Kinect (with gesture and voice recognition), a Windows PC (As a Server for our application), another Windows PC (As a server to USARSim)

...During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize capabilities of some devices available today such as Android Phones and Microsoft Kinect. Using a windows appliacation called MMUAVC Fusion App, this system gathers all data from sensors and issues control commands for the QuadRotor

Gesture Recognition mAnagement Framework for Interactive Tabletop Interfaces. Built on top of the TUIO C# client, the framework supports multi-touch and multi-user interactions. The possible use of tangible objects is particularly contemplated.