Lie to Me: A Computational Tool/Software Development for Detecting Micro-expression in Video Files

We will identify the micro expression in the video.

Design and implement algorithms/software to find the occurrence of micro-expressions from video files.

Project description

Together with the project mentor, students will work to develop a method to find the presence of (spot the start & end time) human micro-expression in videos.

Learn more about this project by reviewing slides and a video prepared by the project mentor.

Project outcome

Students will develop skills related to image process, computer vision and machine learning.

Project details

Timing, eligibility and other details
Length of commitment Variable
Start time Spring, Summer
In-person, remote, or hybrid?
Level of collaboration Small goup project (2-3 students)
Benefits Academic Credit, Stipend
Who is eligible All students in science- and engineering-related majors

Project mentor

Wenyao Xu


Computer Science and Engineering

330 Davis Hall

Phone: (716) 645-4748


Start the project

  1. 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.)
  2. 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

Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase. 

Students need to read the materials below:


Computer Science and Engineering