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[D] Looking for an advice about Human Activity Recognition.

Hi r/MachineLearning. I hope this post is welcomed here because I couldn’t think of another better place and I really believe that you guys can help me. In the coming year I will start writing my dissertation. The topic I’m interested in is about Human Activity Recognition. I talked with my advisor professor and we agreed about two approaches:

  1. Research oriented. For example coming with different architectures, see what kind of videos are hard for current state of the art methods, etc. From what I saw the datasets are quite big and the current neural networks require few weeks to train and I don’t have access to such computational power. And here comes my first question: given this situation, what are the things you think that I should focus on if I want to go on this route?
  2. Doing something practical. For example to recognize the fine-grained actions from a specific sport/activity and to do something with them. The problem here is that there are not too many datasets, and I thought that maybe you know some interesting datasets regarding this aspect.

I have to mention that I personally prefer the first option, but I’m open to suggestions.

Thanks for the help and sorry if I posted in the wrong place.

submitted by /u/IonutCalofir
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.