I need to apply three Algorithms for gesture recognition application using java.
1- Hidden Markov Model (HMM).
2- Conditional Random Fields(CRF).
3- Hidden Conditional Random Fields(HCRF).
For each algorithm, the input will be a matrix of hand positions in a 2D space, and the output will be an ordered list of the most match meaning. There will be a training data which contains hand movement matrix and the meaning of each. The code must be done from scratch (without using any ready libraries).
Three functions needed:
int[]experment1= HMM(numberOfSigns, train_data1, train_data2, test_data);
int[]experment2= CRF(numberOfSigns, train_data1, train_data2, test_data);
int[]experment3= HCRF(numberOfSigns, train_data1, train_data2, test_data);
The code must be well documented, easy to read and understand.
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In short We have all the experience needed to complete the project with maximum accuracy.
I will be waiting for your kind response.
Regards
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