Dr. Amy Hurst in Information Systems is looking for students to help analyze a pre-existing dataset of real-world pointing data. Data from this analysis will be used to better understand pointing problems individuals with motor impairments experience when using a computer, and build systems to accommodate their needs.
Students will test pre-existing computer vision software to analyze screenshots of real world computer interfaces. Depending on interest and skill, students may also work to help design new computer vision techniques to analyze data, or design a database to hold multiple types of information gathered about pointing data.
Project Details and Eligibility Requirements
Status and Compensation: Open to both undergraduate and graduates students in Information Systems or Computer Science. Undergraduate students can do this research for credit as IS400 or 469; Masters students can register for IS/HCC 700; and PhD students can register for IS/HCC 801.
Skills: Students with programming knowledge is required. Relevant programming skills include PERL, shell scripting, and image analysis (OpenCV). Computer vision, machine learning, or MySQL experience a plus.
Deliverables: Students will be required to post their progress on this project to a blog, write a 4-page paper at the end of the semester, and publish code they develop as open-source.
Time Commitment: Students interested in working on this project should be willing to commit 10 hours a week. Work time will be flexible, but the student will be expected to attend group meetings and meet with the advisor once a week.
Expected Duration: This project will take place during the Fall 2011 semester, and may continue into the Spring semester. Please apply by October 1st, 2011.
Students will test pre-existing computer vision software to analyze screenshots of real world computer interfaces. Depending on interest and skill, students may also work to help design new computer vision techniques to analyze data, or design a database to hold multiple types of information gathered about pointing data.
Project Details and Eligibility Requirements
Status and Compensation: Open to both undergraduate and graduates students in Information Systems or Computer Science. Undergraduate students can do this research for credit as IS400 or 469; Masters students can register for IS/HCC 700; and PhD students can register for IS/HCC 801.
Skills: Students with programming knowledge is required. Relevant programming skills include PERL, shell scripting, and image analysis (OpenCV). Computer vision, machine learning, or MySQL experience a plus.
Deliverables: Students will be required to post their progress on this project to a blog, write a 4-page paper at the end of the semester, and publish code they develop as open-source.
Time Commitment: Students interested in working on this project should be willing to commit 10 hours a week. Work time will be flexible, but the student will be expected to attend group meetings and meet with the advisor once a week.
Expected Duration: This project will take place during the Fall 2011 semester, and may continue into the Spring semester. Please apply by October 1st, 2011.
