Abstract About 80–90% of accidents are caused by the unsafe actions and behaviors of
employees in construction. Behavior management thus plays a key role in enhancing safety …

Over recent years the popularity of time series has soared. Given the widespread use of
modern information technology, a large number of time series may be collected during …

Over recent years the popularity of time series has soared. As a consequence there has
been a dramatic increase in the amount of interest in querying and mining such data. In …

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

We investigate the feasibility of using the dynamic time war** (DTW) technique as an
alternative to windowed cross correlation (WCC) for an indirect measure to quantify both the …

Throughout recent years, dynamic time war** (DTW) has remained as a robust similarity
measure in time series classification (TSC). 1-nearest neighbor (1-NN) algorithm with DTW …

Dynamic time war** (DTW) is used for the comparison and processing of nonlinear
signals and constitutes a widely researched field of study. The method has been initially …

In our previous work, we developed a new distance function based on a derivative and
showed that our algorithm is effective. In contrast to well-known measures from the literature …

We present a view independent approach for 3D human gait recognition. The identification
of the person is done on the basis of motion estimated by our marker-less 3D motion …

In word spotting literature, many approaches have considered word images as temporal
signals that could be matched by classical Dynamic Time War** algorithm. Consequently …