/// \fn public void UpdateHMMFromSerializedValues()
///
/// \brief Deserialize All gestures values into their origin format
///
/// \author Khoubaeib Klai | [email protected]
/// \date 24/04/2014
public void UpdateHMMFromSerializedValues()
{
List <AKN_HiddenMarkovModel <int> > l_hmms = new List <AKN_HiddenMarkovModel <int> >();
for (int i = 0; i < nb_states.Count; i++)
{
if (nb_states[i] != 0 && nb_observations[i] != 0)
{
AKN_HiddenMarkovModel <int> hmm = new AKN_HiddenMarkovModel <int>(nb_states[i], nb_observations[i], m_gesturesName[i]);
int indexPreviousStates = 0; for (int j = 0; j < i; j++)
{
indexPreviousStates += nb_states[j];
}
int indexPreviousObservations = 0; for (int j = 0; j < i; j++)
{
indexPreviousObservations += nb_states[j];
}
hmm.MSetStates(
statesProbabilities.GetRange(indexPreviousStates, nb_states[i]).ToArray(),
statesNames.GetRange(indexPreviousStates, nb_states[i]).ToArray());
int indexPreviousTransitions = 0; for (int j = 0; j < i; j++)
{
indexPreviousTransitions += (nb_states[j] * nb_states[j]);
}
float[] trs = transitions.GetRange(indexPreviousTransitions, (nb_states[i] * nb_states[i])).ToArray();
for (int j = 0; j < nb_states[i]; j++)
{
for (int k = 0; k < nb_states[i]; k++)
{
hmm.MSetTransition(j, k, trs[(j * nb_states[i]) + k]);
}
}
hmm.MSetObservations(observations.GetRange(indexPreviousObservations, nb_observations[i]).ToArray());
int indexPreviousEmissions = 0; for (int j = 0; j < i; j++)
{
indexPreviousEmissions += (nb_states[j] * nb_observations[j]);
}
float[] ems = emissions.GetRange(indexPreviousEmissions, (nb_states[i] * nb_observations[i])).ToArray();
for (int j = 0; j < nb_states[i] * nb_observations[i]; j++)
{
hmm.MSetEmissionByIndex(j, ems[j]);
}
l_hmms.Add(hmm);
}
else
{
l_hmms.Add(null);
}
}
m_HMMs = l_hmms;
}
/// \fn private AKN_HiddenMarkovModel<int> _MSetTransitions(AKN_HiddenMarkovModel<int> _gestureHmm) /// /// \brief Update constructed Hmm with new transitions values. /// /// \author Khoubaeib Klai | [email protected] /// \date 24/04/2014 /// /// \param _gestureHmm HMM to update. /// /// \return new HMM with updated values. private AKN_HiddenMarkovModel <int> _MSetTransitions(AKN_HiddenMarkovModel <int> _gestureHmm) { for (int j = 0; j < _gestureHmm.m_StatesCount; j++) { _gestureHmm.MSetTransition((j * _gestureHmm.m_StatesCount) + j, 0.4F); } for (int k = 0; k < _gestureHmm.m_StatesCount - 1; k++) { _gestureHmm.MSetTransition((k * _gestureHmm.m_StatesCount) + k + 1, 0.35F); } for (int k = 0; k < _gestureHmm.m_StatesCount - 2; k++) { _gestureHmm.MSetTransition((k * _gestureHmm.m_StatesCount) + k + 2, 0.25F); } _gestureHmm.MSetTransition(((_gestureHmm.m_StatesCount - 1) * _gestureHmm.m_StatesCount) + _gestureHmm.m_StatesCount - 1, 1F); return(_gestureHmm); }
/// \fn private void _MShowTransitionsValuesAtState(int _index) /// /// \brief Show transition probabilites from a specific state. /// /// \author Khoubaeib Klai | [email protected] /// \date 24/04/2014 /// /// \param _index index of the state private void _MShowTransitionsValuesAtState(int _index) { GUILayout.BeginHorizontal(); for (int j = 0; j < m_HMM.m_StatesCount; j++) { m_HMM.MSetTransition((_index * m_HMM.m_StatesCount) + j, EditorGUILayout.FloatField(m_HMM.MGetTransition((_index * m_HMM.m_StatesCount) + j))); } GUILayout.EndHorizontal(); }
