The dynamics and properties of the neural networks are analytically explained. Simulations for classifying speaker-dependent isolated words, consisting of 0 to 9 and A to Z, show that the method is better than conventional methods. The hardware implementation of this method is also presented. 展开...
The DTW algorithm is explained with an example of two-people trajectory data. The time-series data of position and velocity for the leaders and the followers are inputted and calibrated using SIMI Motion. Table1lists an example of the time input data. Table 1.Position and velocity time-series...
The application of the DTW-based algorithm demonstrates that lapses explained much of the timing mismatch (9.6 out of 14 seconds), with a small proportion explained by scaling (a ratio of 0.976) consistent with previous research. However, after again performing the dance under NM and WM ...
Afterwards, common trajectories of all lengths (number of diagnoses) are considered and shared time-dependent disease patterns are sought. For this reason, a novel unsupervised clustering algorithm is proposed, based on thedynamic time warping(DTW) technique, in order to group (cluster) the disease...
The mechanical structure of this wheelchair and kinetic function is explained briefly. But we have given more importance to how to achieve speech controlling. For example, pretreatment of speech signal, dynamic time warping and template mating train method....
Dynamic Time Warping of Segmented Time Series Zoltán Bankó, János Abonyi January 2010, Springer Science + Business Media DOI:10.1007/978-3-642-11282-9_13 Publication not explained This publication has not yet been explained in plain language by the author(s). However, you can still read the...
algorithm employed in this study is explained by means of a simple example. Figure 2 shows the general setup of the COWalgorithm. In this example, both the reference and sample vector (N¼18 and M¼17) are divided into I ¼4 segments of length i. Since ...
Then, online prediction modeling based on the RVM is explained. Finally, the procedure of the KerDTW-RVM-based soft sensor for unequal-length batch processing is summarized. Penicillin fermentation process Penicillin is a widely used antibiotic extracted from Penicillium, and its production process is...
There is an improvement if 3D data are analyzed, which can be explained by dependency of estimation of markers' locations on the calibration stage of motion capture system, which is weaker than in the case of joints rotations. However, DTW with selection of pose configuration space achieves ...
Dynamic Time Warping (DTW) [1] is one of well-known distance measures between a pairwise of time series. The main idea of DTW is to compute the distance from the matching of similar elements between time series. It uses the dynamic programming technique