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Question about dataset collection and model training #1

@Aiswarya358

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@Aiswarya358

Hello Zhiwei Fang,

I hope you are doing well. My name is Aiswarya, and I am a B.Tech Computer Science with ai and ml student working on an academic project related to gesture-based mouse control.

I recently came across your AirCtrl project and found it very impressive. I am trying to understand the technical details more deeply, especially from a learning and research perspective.

If you don’t mind, I would like to ask a few questions:

• How did you collect the hand gesture dataset used to train the model (for example, webcam images, gesture classes, duration, number of samples)?
• What kind of data preprocessing was applied before training?
• Which model architecture did you use in TensorFlow for gesture recognition?
• Was the model trained using image data or extracted features?
• Is there any plan to release a sample or description of the dataset for academic reference?

I completely understand if the dataset cannot be shared. Even a high-level explanation would be extremely helpful for my learning.

Thank you very much for your time and for sharing such an inspiring project with the community.

Best regards,
Aiswarya

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