Results 31 to 40 of about 62,816 (280)
Dynamic Time Warping of Pulse Wave Curves
Current Directions in Biomedical Engineering, 2018 Being able to non-obtrusively and continuously monitor arterial blood pressure is of great interest, particularly in the context of wearable sensors. A common limitation is the need for dedicated hardware, which is either obtrusive or expensive.
Pielmuş Alexandru-Gabriel +6 more
doaj +1 more source
Making the dynamic time warping distance warping-invariant [PDF]
Pattern Recognition, 2019 The literature postulates that the dynamic time warping (dtw) distance can cope with temporal variations but stores and processes time series in a form as if the dtw-distance cannot cope with such variations. To address this inconsistency, we first show that the dtw-distance is not warping-invariant.
openaire +2 more sources
A pair hidden Markov support vector machine for alignment of human actions [PDF]
, 2016 © 2016 IEEE. Alignment of human actions in videos is an important task for applications such as action comparison and classification. While well-established algorithms such as dynamic time warping are available for this task, they still heavily rely on ...
Piccardi, M, Wang, Z
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Hybrid Method for Digits Recognition using Fixed-Frame Scores and Derived Pitch [PDF]
, 2006 This paper presents a procedure of frame normalization based on the traditional dynamic time warping (DTW) using the LPC coefficients. The redefined method is called as the DTW frame-fixing method (DTW-FF), it works by normalizing the word frames of the ...
B. R. Wildermoth +7 more
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HybridFTW: Hybrid Computation of Dynamic Time Warping Distances
IEEE Access, 2018 In this paper, we propose an efficient approach that computes the dynamic time warping (DTW) distance in time-series similarity search. The DTW distance is known to offer the high accuracy in similarity search, but it has difficulty in supporting the ...
Minwoo Lee +4 more
doaj +1 more source
The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust, outlier-insensitive alternative to the Fréchet distance. For static curves of at most n points, the DTW distance can be
Bringmann, K. ; https://orcid.org/0000-0003-1356-5177 +5 more
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Progressive Dynamic Time Warping for Noninvasive Blood Pressure Estimation
Current Directions in Biomedical Engineering, 2020 Arterial blood pressure is one of the most important cardiovascular parameters. Yet, current-generation devices for continuous, noninvasive acquisition are few, expensive and bulky.
Pielmus Alexandru-Gabriel +4 more
doaj +1 more source
dtwParallel: A Python package to efficiently compute dynamic time warping between time series
SoftwareX, 2023 dtwParallel is a Python package that computes the Dynamic Time Warping (DTW) distance between a collection of (multivariate) time series (MTS). dtwParallel incorporates the main functionalities available in current DTW libraries and novel functionalities
Óscar Escudero-Arnanz +4 more
doaj +1 more source
Speed Up Similarity Search of Time Series Under Dynamic Time Warping
IEEE Access, 2019 Similarity search is a foundational task in time series data mining. Although there are many ways to measure the similarity of time series, a lot of evidence indicates that dynamic time warping (DTW) has the best robustness in many applications ...
Zhengxin Li +5 more
doaj +1 more source
Continuous Action Recognition Based on Sequence Alignment [PDF]
, 2014 Continuous action recognition is more challenging than isolated recognition because classification and segmentation must be simultaneously carried out.
Cech, Jan +3 more
core +4 more sources