Emerging Biometrics for User Identification
Seeking students to work on emerging biometrics, exploring the use of brainwave, heart beat, gait, gesture and other live body features.
Project description
We are looking for students to work on emerging biometrics beyond face, iris, fingerprint and voice. Specifically, we will explore brainwave, heart beat, gait, gesture and other live body features.
The students will work with a team on this project.
Project outcome
The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration.
Project details
| Length of commitment | To be determined by student/mentor |
| Start time | Fall, Spring, Summer |
| In-person, remote, or hybrid? | Remote |
| Level of collaboration | To be determined by student/mentor |
| Benefits | Academic Credit, Volunteer, Salary/Stipend |
| Who is eligible | Students with knowledge of/interest in Pattern Recognition, Machine Learning, Programming |
Goldwater and the National Science Foundation
Students participating in this project might be interested in and eligible for the Goldwater Scholarship and the National Science Foundation Graduate Research Fellowship. Connect with the Office of Fellowships and Scholarships to learn more.
Project mentor
Wenyao Xu
Professor
Computer Science and Engineering
Start the project
- Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
- After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.)
Preparation activities
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.
Keywords
Computer Science and Engineering