Fly-Pie
Fly-Pie is an open-source virtual keyboard software for Linux and Windows that allows hands-free typing using eye tracking and dwell clicks. It features word prediction and custom word banks to improve typing efficiency.
eye-tracking
virtual-keyboard
handsfree
word-prediction
Fly-Pie: Open-Source Virtual Keyboard
Open-source virtual keyboard software for Linux and Windows with eye tracking and dwell clicks, improving hands-free typing efficiency
What is Fly-Pie?
Fly-Pie is an open-source virtual keyboard software designed for hands-free typing using only eye movements. It works by showing a radial menu of characters and words which users can select through dwell clicking and eye gaze tracking. Fly-Pie allows people with physical disabilities to efficiently type and communicate using just their eyes.
Some key features of Fly-Pie include:
- Works with common eye trackers like Tobii and EyeTech
- Fast typing through intelligent word prediction and custom word banks
- Fully customizable layouts and themes
- Open-source software available for Linux and Windows
- Support for over 30 languages
- Dwell clicking for automatic character/word selection
- Keyboard shortcuts and mouse emulation
- Data logging and analysis tools
Fly-Pie aims to provide an easy-to-use yet highly capable virtual keyboard for hands-free computer access. Its prediction engine and custom word banks allow rapid communication even with only eye movements. The open-source nature also means it can be customized and extended as needed. Overall, Fly-Pie targets people with physical disabilities to give them effective tools for communication and productivity.
Fly-Pie Features
Features
- Hands-free typing using eye tracking
- Dwell clicking for text selection and activation
- Word prediction to improve typing efficiency
- Custom word banks
- Open source codebase
- Available on Linux and Windows
Pricing
- Open Source
Pros
Allows typing without use of hands
Useful for people with disabilities
Word prediction improves typing speed
Custom word banks improve relevance of predictions
Cons
Requires compatible eye tracking hardware
Steep learning curve
Limited language support
May not work well for all users
Official Links
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