Signal verification device
First Claim
1. A device for the verification of time-dependent, user-specific signals which includesmeans for generating a set (O′
- ) of feature vectors (ot′
) which serve to provide an approximative description of an input signal and are associated with selectable sampling intervals of the signal;
means for preparing an HMM model (λ
) for the signal;
means for determining a probability value which describes the probability of occurrence of the set (O′
) of feature vectors (ot′
), given the HMM model (λ
), and a threshold decider for comparing the probability value with a threshold value (τ
) and for deciding on the verification of the signal, characterized in that means (10) are provided for the automatic, person-specific evaluation of the relevance of the features collected in the feature vectors by means of an LDA transformation, and for the automatic selection of features evaluated as relevant.
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Accused Products
Abstract
The invention relates to a device for the verification of time-dependent, user-specific signals which includes
means for generating a set of feature vectors which serve to provide an approximative description of an input signal and are associated with selectable sampling intervals of the signal;
means for preparing an HMM model for the signal;
means for determining a probability value which describes the probability of occurrence of the set of feature vectors, given the HMM model, and
a threshold decider for comparing the probability value with a threshold value and for deciding on the verification of the signal. For better adaptation of the verification to the relevant user and the user-specific signals assigned thereto, it is proposed to provide means for the automatic person-specific evaluation of the relevance of the features collected in the feature vectors by way of an LDA transformation and for the automatic selection of features evaluated as relevant.
48 Citations
5 Claims
-
1. A device for the verification of time-dependent, user-specific signals which includes
means for generating a set (O′ - ) of feature vectors (ot′
) which serve to provide an approximative description of an input signal and are associated with selectable sampling intervals of the signal;
means for preparing an HMM model (λ
) for the signal;
means for determining a probability value which describes the probability of occurrence of the set (O′
) of feature vectors (ot′
), given the HMM model (λ
), anda threshold decider for comparing the probability value with a threshold value (τ
) and for deciding on the verification of the signal,characterized in that means (10) are provided for the automatic, person-specific evaluation of the relevance of the features collected in the feature vectors by means of an LDA transformation, and for the automatic selection of features evaluated as relevant. - View Dependent Claims (2, 3, 4)
- ) of feature vectors (ot′
-
5. A method of verifying time-dependent, user-specific signals in which
a set (O′ - ) of feature vectors (ot′
) is generated, which vectors serve to provide an approximative description of an input signal and are associated with selectable sampling intervals of the signal,a HMM model (λ
)1 is prepared for the signal;
a probability value is determined which describes the probability of occurrence of the set (O′
) of feature vectors (ot′
), given the HMM model (λ
);
a threshold decider compares the probability value with a threshold value (τ
) and decides on the verification of the signal;
an automatic, person-specific evaluation of the relevance of the features collected in the feature vectors is performed by means of an LDA transformation and features evaluated as relevant are automatically selected.
- ) of feature vectors (ot′
Specification