/// <summary>
/// Returns Interest model parameters
/// </summary>
/// <param name="rawScore"> return raw score</param>
/// <param name="minScale,maxScale"> return scale range</param>
/// <returns></returns>
public void PerformanceMetricGetInterestModelParams(out Double rawScore, out Double minScale, out Double maxScale)
{
PerformanceMetric.IS_PerformanceMetricGetInterestModelParams(hEmoState, out rawScore, out minScale, out maxScale);
}
/// <summary>
/// Returns short term excitement model parameters
/// </summary>
/// <param name="rawScore"> return raw score</param>
/// <param name="minScale,maxScale"> return scale range</param>
/// <returns></returns>
public void PerformanceMetricGetInstantaneousExcitementModelParams(out Double rawScore, out Double minScale, out Double maxScale)
{
PerformanceMetric.IS_PerformanceMetricGetInstantaneousExcitementModelParams(hEmoState, out rawScore, out minScale, out maxScale);
}
/// <summary>
/// Returns EngagementBoredom model parameters
/// </summary>
/// <param name="rawScore"> return raw score</param>
/// <param name="minScale,maxScale"> return scale range</param>
/// <returns></returns>
public void PerformanceMetricGetEngagementBoredomModelParams(out Double rawScore, out Double minScale, out Double maxScale)
{
PerformanceMetric.IS_PerformanceMetricGetEngagementBoredomModelParams(hEmoState, out rawScore, out minScale, out maxScale);
}
/// <summary>
/// Returns Interest level of the user
/// </summary>
/// <returns>interest level (0.0 to 1.0)</returns>
public Single PerformanceMetricGetInterestScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetInterestScore(hEmoState));
}
/// <summary>
/// Check whether two states are with identical 'emotiv' state
/// </summary>
/// <param name="state">EmoState</param>
/// <returns>true: Equal, false: Different</returns>
public Boolean PerformanceMetricEqual(EmoState state)
{
return(PerformanceMetric.IS_PerformanceMetricEqual(GetHandle(), state.GetHandle()));
}
/// <summary>
/// Returns frustration level of the user
/// </summary>
/// <returns>frustration level (0.0 to 1.0)</returns>
public Single PerformanceMetricGetFrustrationScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetStressScore(hEmoState));
}
/// <summary>
/// Returns engagement/boredom level of the user
/// </summary>
/// <returns>engagement/boredom level (0.0 to 1.0)</returns>
public Single PerformanceMetricGetEngagementBoredomScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetEngagementBoredomScore(hEmoState));
}
/// <summary>
/// Returns meditation level of the user
/// </summary>
/// <returns>meditation level (0.0 to 1.0)</returns>
public Single PerformanceMetricGetRelaxationScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetRelaxationScore(hEmoState));
}
/// <summary>
/// Query whether the signal is too noisy for PerformanceMetric detection to be active
/// </summary>
/// <param name="type">PerformanceMetric detection type</param>
/// <returns>detection state (false: Not Active, true: Active)</returns>
public Boolean PerformanceMetricIsActive(PerformanceMetric.IEE_PerformanceMetricAlgo_t type)
{
return(PerformanceMetric.IS_PerformanceMetricIsActive(hEmoState, type));
}
/// <summary>
/// Returns short term excitement level of the user
/// </summary>
/// <returns>excitement level (0.0 to 1.0)</returns>
public Single PerformanceMetricInstantaneousExcitementTermScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetInstantaneousExcitementScore(hEmoState));
}
/// <summary>
/// Returns the long term excitement level of the user
/// </summary>
/// <returns>excitement level (0.0 to 1.0)</returns>
public Single PerformanceMetricGetExcitementLongTermScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetExcitementLongTermScore(hEmoState));
}
/// <summary>
/// Returns focus level of the user
/// </summary>
/// <returns>focus level (0.0 to 1.0)</returns>
public Single PerformanceMetricGetFocusScore()
{
return(PerformanceMetric.IS_PerformanceMetricGetFocusScore(hEmoState));
}
