Physiological Feature Matching Sample Clauses

Physiological Feature Matching. After feature extraction, a physiological signal can be denoted as feature vectors for matching. In physiological feature matching, two key components are threshold searching and distance computation. First, the batch pro- cess can be used to conduct the search for the threshold value T through the threshold searching. Then, we can compute the distance by using the distance functions (Euclidean distance function, Manhattan distance and Mahalabonis distance) and dynamic time warping [46]. The smaller the distance is, the more similarities the two physiological signals F and Fˆ have. Finally, we can compare the threshold and the distance. Only if the distance is smaller than the threshold, the two physi- ological signals are matching with each other, and we take them as the physiological signals collected from the same body.
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