Here is the Mean square error evolution during the ANN training:
(MSE value x Training Epochs)
The main problem on this step is the patterns used to train the ANN, they are too similar and sometimes the ANN can get confused or understand an input data as a corrupted data and then it does the approximation erroneously. See the results below:
From this point, some investigations will be done on:
1) improve the hand detection, using glove ?!?! covering the arms ?!?!?
2) use new gestures to apply in an useful use-case
3) detect movements and recognizes motion gestures
EOF!
How much of a negative training did you use? Did you use negative training to rule out one decided as three?
ReplyDeleteHi, I didn't use any negative training in this step. Only patterns I aimed to recognize. Every output value out of an expected range was ignored.
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