I am going to be collecting data to train a CNN/deep-learning model for gesture recognition. I have never worked in the domain of gesture recognition before, so I want to know if there are any tips or notes to keep in mind when collecting and processing video data.

For instance, when training a CNN image classifier, it’s good to have the image as a square (but not always needed) and to also normalize the input pixels to a range of, for instance, [0,1].

So are there any best practices or things to keep in mind when collecting & processing data for gesture recognition. Specifically for 3D-CNN/CNN-LSTM model? I plan on building a 3D-CNN/CNN-LSTM model for my gesture recognition, but I don't know for sure yet. I might try other machine learning algorithms as well.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.