نتایج جستجو برای: dynamic time warping dtw
تعداد نتایج: 2193040 فیلتر نتایج به سال:
This paper compares Dynamic Time Warping (DTW) and Waveform Matching (WFM), the two gesture recognition techniques, applied on a specific Squash game application we have developed. Our application gets accelerometer readings by moving the NintendoTM Wiimote in a 3D space. This application manipulates the Wiimote gestures in the form of signals. These signals are the effect of the movements, the...
Information processing has an important application which is speech recognition. In this paper, a two hybrid techniques have been presented. The first one is a 3-level hybrid of Stationary Wavelet Transform (S) and Discrete Wavelet Transform (W) and the second one is a 3-level hybrid of Discrete Wavelet Transform (W) and Multi-wavelet Transforms (M). To choose the best 3-level hybrid in each te...
We propose a dynamic time-warping (DTW) based distortion measure for measuring the dissimilarity between pairs of left-to-right continuous density hidden Markov models with state observation densities being mixture of Gaussians. The local distortion score required in DTW is defined as an approximate Kullback-Leibler divergence (KLD) between two Gaussian mixture models (GMMs). Several approximat...
Distributed computing is the method of splitting a large problem into smaller pieces and allocating the workload among many computers. These individual computers process their portions of the problem, and the results are combined together to form a solution for the original problem. At present, Distributed computing systems can be broadly classified into two methods, namely Grid computing and V...
Similarity search on time series is a frequent operation in large-scale data-driven applications. Sophisticated similarity measures are standard for time series matching, as they are usually misaligned. Dynamic Time Warping or DTW is the most widely used similarity measure for time series because it combines alignment and matching at the same time. However, the alignment makes DTW slow. To spee...
This research proposes the application of dynamic time warping (DTW) algorithm to analyse multivariate data from virtual reality training simulators, to assess the skill level of trainees. We present results of DTW algorithm applied to trajectory data from a virtual reality haptic training simulator for epidural needle insertion. The proposed application of DTW algorithm serves two purposes, to...
Due to the extreme change of human behavior, load consumption in public holidays fluctuates more significantly compared general weekdays resulting difficulty hourly holiday forecasting. The forecasting is even challenging because forecast practically predicted on nearest workday which might be than one days prior holiday. In this paper, we propose a Joint Dynamic time warping and LSTM (JDL) fra...
Research background: In recent times, the whole world has been severely affected by COVID-19 pandemic. The influence of epidemic on society and economy caused a great deal scientific interest. development pandemic in many countries was analyzed using various models. However, literature dissemination lacks econometric analyzes this Polish voivodeships.
 Purpose article: aim study is to find...
A new approach to trace the dynamic patterns of task-based functional connectivity, by combining signal segmentation, dynamic time warping (DTW), and Quality Threshold (QT) clustering techniques, is presented. Electroencephalography (EEG) signals of 5 healthy subjects were recorded as they performed an auditory oddball and a visual modified oddball tasks. To capture the dynamic patterns of func...
This paper presents the findings of a research on how to improve activity recognition from data captured with chest mounted accelerometer. Several methods were applied to achieve this purpose, including: simple smoothing technique, hidden Markov models (HMM), extraction of frequency domain features, principal component analysis (PCA) and dynamic time warping (DTW). The paper describes each of t...
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