What This Document Is
This is a course assignment for CAP 6105, Pen-Based User Interfaces, at the University of Central Florida. It details a project focused on implementing and extending a gesture recognition algorithm – specifically, the "$1 Recognizer" – for recognizing handwritten symbols. The assignment challenges students to apply theoretical knowledge to a practical implementation, and then to build upon existing research to enhance its capabilities. It’s a hands-on exercise designed to bridge the gap between research papers and real-world application.
Why This Document Matters
This assignment is crucial for students studying human-computer interaction, particularly those interested in pen-based or gesture-driven interfaces. It’s beneficial for anyone looking to gain practical experience in algorithm implementation, user interface design, and the challenges of recognizing dynamic input. If you’re preparing to develop applications that utilize handwriting or gesture input, understanding the principles and techniques outlined within will be invaluable. This assignment will help you build a foundational understanding of how to translate research into functional prototypes.
Topics Covered
* Gesture Recognition Algorithms
* Single-Stroke and Multi-Stroke Symbol Recognition
* Ink Segmentation Techniques
* User Interface Prototyping
* Algorithm Extension and Improvement
* Performance Evaluation and Reporting
* Implementation of Scribble Erase Gestures
* Application of Corner Finding Algorithms
What This Document Provides
* A detailed assignment description with specific requirements.
* A list of symbols the recognizer must be able to identify.
* Guidance on strategies for implementing the recognizer, including invocation methods and result display.
* Grading criteria outlining the weight of different assignment components.
* A link to the original research paper detailing the "$1 Recognizer" algorithm.
* Deliverable specifications, including submission instructions and required documentation.
