In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …

The previous decade has brought a remarkable increase of the interest in applications that
deal with querying and mining of time series data. Many of the research efforts in this context …

Abstract In recent years Dynamic Time Warping (DTW) has emerged as the distance
measure of choice for virtually all time series data mining applications. For example, virtually …

Recent years have seen significant progress in improving both the efficiency and
effectiveness of time series classification. However, because the best solution is typically the …

Increasing energy costs, new environmental legislation, and concerns over energy security
are driving efforts to increase industrial energy efficiency across the European Union and …

In this article, a novel method for continuous hand gesture detection and recognition is
proposed based on a frequency modulated continuous wave (FMCW) radar. Firstly, we …

In the last decade, Dynamic Time Warping (DTW) has emerged as the distance measure of
choice for virtually all time series data mining applications. This is the result of significant …

A concerted research effort over the past two decades has heralded significant
improvements in both the efficiency and effectiveness of time series classification. The …

Emerging vehicular trajectory data have opened up opportunities to benefit many real-world
applications, eg, frequent trajectory based navigation systems, road planning, car pooling …

This paper develops a multi-dimensional Dynamic Time Warping (DTW) algorithm to identify
varying lead-lag relationships between two different time series. Specifically, this manuscript …