MouseGestures - Neural Network Project ETSII ULL 01
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Makes sense now :)
Thank you
3 years ago 2
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That's actually really cool.
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The code pseudocode is:
gestureDataX[i] = moveData[i].getX() - moveData[i - 1].getX()
gestureDataY[i] = moveData[i].getY() - moveData[i - 1].getY()
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Are you making vectors from each consecutive pairs of pixels and then feed them to the NN? Is that how you think of it as derivative?
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Direct input is not good because Neural Network would recognice only the same movement. I mean, the same movement size in the same 2D coordinates. Thats not really what we mean with gesture.
Working with the derivate gives you more or less the gesture data from the movement. Size and 2D coordinates are not important.
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very amazing :O
3 years ago 2
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I don't get it. What does the derivative give you? why is that better than direct input?
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Your choice about the data to use is a very interesting and efficient approach. Thanks for the link !
4 years ago 2
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Amazing, I wanna get started on this subject. Any tips?
darkdragon7099 3 years ago 3
For recognizing gestures I have used the Neural Network approach. There is sure other ways to do it but I found NN very interesting .
If you take the path of NN you have to learn about it first to catch the most important concepts. I thinks little teory its important before trying something. After that you are ready to code something you want be resolved by a NN.
Hope being helpful.
botrules 3 years ago