Lie to Me: A Computational Tool/Software Development for Detecting Micro-expression in Video Files
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
| Length of commitment | Variable |
| Start time | Spring, Summer |
| In-person, remote, or hybrid? | 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
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
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:
- What are micro-expressions?
- Papers on spotting methods.
- Shreve, Matthew, et al. "Macro-and micro-expression spotting in long videos using spatio-temporal strain." Face and Gesture 2011. IEEE, 2011.
- Li, Xiaobai, et al. "Towards reading hidden emotions: A comparative study of spontaneous micro-expression spotting and recognition methods." IEEE transactions on affective computing 9.4 (2017): 563-577.
- Papers on ME Database.
- Li, Xiaobai, et al. "A spontaneous micro-expression database: Inducement, collection and baseline." 2013 10th IEEE International Conference and Workshops on Automatic face and gesture recognition (fg). IEEE, 2013.
- Yan, Wen-Jing, et al. "CASME II: An improved spontaneous micro-expression database and the baseline evaluation." PloS one 9.1 (2014): e86041.
Keywords
Computer Science and Engineering