Facial Expression Recognition for Taiwanese Elders

Setup

Python Version

please install Python 3.9 first

Python packages

python -m pip install -r requirements.txt

Run model

python main.py --input fixture/sample.jpg

python main.py --input_folder example_folder

p.s. only the face with largest confidence will be evaluated

Pretrained model

Loading the Pytorch state_dict:

--checkpoint weight/best.ckpt

There are 2 different pretrained weights

• best.ckpt is the cross-dataset model (default)
• fine_tune.ckpt is the fine-tuned weights on TW old faces.

Run Test

python -m unittest

Run on Taiwanese Faces

Please request the data from the author of the following paper:

Tu, Y. Z., Lin, D. W., Suzuki, A., Goh, J. O. S. (2018). East Asian young and older adult perceptions of emotional faces from an age- and sex-fair East Asian facial expression database. Frontiers in Psychology, 9. doi: 10.3389/fpsyg.2018.02358

and put the face images from pick_faces_628 to the folder ./data

Also, put the FaceTake_SubjList.csv to the project folder

Then, run:

python main.py

Reference

• De-Wei Ye, Automatic Facial Expression Recognition for Taiwanese Elders with Deep Convolutional Neural Network,” Master’s thesis, Graduate Institute of Communication Engineering, National Taiwan University, 2020.