Search Results for "tracking"

...GazeRecorder automatically records using ordinary webcams, where people look and what they engage with on their computer screens. In comparison with conventional eye tracking - that uses specialized technology and invites respondents to labs – GazeRecoreder is able to track people’s eyes with their own computers at home. Multiple state-of-the-art tracking algorithms communicate to identify the face, key features, eyes, iris and movements in 3D, allowing for the most accurate tracking possible, even when people move, lighting changes or the face is partially obstructed. ...

Haytham is an open source video based eye tracker suited for head-mounted or remote setups. It provides real-time gaze estimation in the user’s field of view or the computer display by analyzing eye movement. Haytham offers gaze-based interaction with computer screens in fully mobile situations. The software is built by C#, using Emgu and AForge image processing libraries. LICENSE The Haytham is released under a dual license: FREE VERSION: The source code is released under GPL...

reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.

This is an SDK that unites input from various eye-tracking systems and provides a common API for developers regardless of the system in use.

The Gaze Tracking Library is a framework for open source eye tracking using off-the-shelf components, such as webcams and videocameras. It supports both head-mounted and remote setups. The network API relies on TCP/IP and UDP (.Net client included)

...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