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Table 1 Comparison among strategies for segmenting and reconstructing signals

From: Static force field representation of environments based on agents’ nonlinear motions

Method used in Segmentation/Reconstruction Type Input features Error measure Output
[40] Batch (top-down) Data from etch machine 2 distance between line and data points Identification of states in a HMM
[41] Online (Sliding window + top down) Data points series 2 distance between line and data points Signal’s piecewise linear representation
[42] Online (Slope change threshold) Data points series Distance between reference slopes Signal’s piecewise linear representation
[43] Batch (bottom-up) High frequency data points 2 distance between line and super-interval data Identification of events
[44] Online (furthest candidate segmenting point) Data points series Maximum vertical distance to a line Signal’s piecewise linear representation
[44] Online (Backward segmentation) Data points series Maximum vertical distance to a line Signal’s piecewise linear representation
[45] Offline (nonlinear state estimation) Aircraft sensor data Root-mean-square error Aircraft path reconstruction
[46] Offline Interactive Multiple Mode filter data Distance to predefined modes of flight Identification of modes of flight
Proposed work Online (sliding window and angle distributions) Velocity vectors from bank of filters Mahalanobis distance between angle and distribution Velocity vectors linked to an attractive field