Some questions about the dataset about step HOT 7 CLOSED

Thanks for your observation! The labels map one-to-one to the following: [0, 1,2 3] -> ['Angry', 'Neutral', 'Happy', 'Sad']. You can find the mapping in multiple places in our code, e.g., in classifier_stgcn_real_only/main.py, line 75.

The file names actually indicate the intended emotions of the subjects whose gaits constitute our dataset. The labels are the perceived emotions that labelers assigned after looking at the gait data. We use the perceived emotions in our experiments.

from step.

Hello, thanks for your question. We had to make changes to the dataset since its original upload (primarily due to logistical issues and expiring storage permissions) and as a result, there are fewer of the originals currently available. I hope this answers your question.

from step.

Thanks so much for your reply! I get it.

from step.

Hello Uttaran,
I want to know whether should I translate the labels [angry,happy,neutral,sad] to be [0,1,2,3] when I use the synthetic dataset. Because when I open the real dataset label file, I have found the rule is not suitable. As following words you see:
/001_Angry_positions.csv:1 /001_Happy_positions.csv:3 /001_Neutral_positions.csv:1 /001_Sad_positions.csv:3;
/002_Angry_positions.csv:1 /002_Happy_positions.csv:3 /002_Neutral_positions.csv:3 /002_Sad_positions.csv:3;
/003_Angry_positions.csv:1 /003_Happy_positions.csv:0 /003_Neutral_positions.csv:3 /003_Sad_positions.csv:2;
I hope to hear your explanation。
Thanks！

from step.

Thanks for your explanation! Have you run the model on the modified dataset as the dataset is different from the one depicted in your paper? Could you please tell me the accuracy you get and the parameter you set during the training time if you have done it?

from step.

No sorry, we have not tested this method on other datasets yet.

from step.

Thanks for your kind reply!

from step.