Dynamic Time Warping (DTW) is a popular similarity measure for aligning and comparing time series. Due to DTW's high computation time, lower bounds are often employed screen poor matches. Many alternative have been proposed, providing range of different trade-offs between tightness computational efficiency. LB Keogh provides useful trade-off in many applications. Two recent bounds, Improved Enh...

this paper presents a fault location technique for transmission lines with minimum current measurement. this algorithm investigates proper current ratios for fault location problem based on thevenin theory in faulty power networks and calculation of short circuit currents in each branch. these current ratios are extracted regarding lowest sensitivity on thevenin impedance variations of the netw...

Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments. DTW is essentially a point-to-point matching method under some boundary and temporal consistency constraints. Although DTW obtains a global optimal solution, it does not necessarily achieve locally sensible m...

This paper presents a method for learning, tracking, and recognizing human gestures using a view-based approach to model both object and behavior. Object views are represented using sets of view models, rather than single templates. Stereotypical space-time patterns, i.e. gestures, are then matched to stored gesture patterns using dynamic time warping. Real-time performance is achieved by using...

Automatically evaluating and quantifying the performance of a player is a complex task since the important motion features to analyze depend on the type of performed action. But above all, this complexity is due to the variability of morphologies and styles of both the experts who perform the reference motions and the novices. Only based on a database of experts’ motions and no additional knowl...