Classification of Dance Motions with Depth Cameras Using Subsequence Dynamic Time Warping

2015 ◽  
Author(s):  
Dohyung Kim ◽  
Minsu Jang ◽  
Youngwoo Yoon ◽  
Jaehong Kim
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Depth Cameras ◽  
Dynamic Time

Continuous Motion Classification and Segmentation Based on Improved Dynamic Time Warping Algorithm

2017 ◽  
Vol 32 (02) ◽  
pp. 1850002 ◽  
Author(s):  
Mingqin Liu ◽  
Xiaoguang Zhang ◽  
Guiyun Xu
Keyword(s):  
Action Recognition ◽  
Dynamic Time Warping ◽  
The Other ◽  
Continuous Image ◽  
Single Image ◽  
Time Warping ◽  
Continuous Action ◽  
Template Sequence ◽  
Dynamic Time

The continuous image sequence recognition is more difficult than the single image recognition because the classification of continuous image sequences and the image edge recognition must be very accurate. Hence, a method based on sequence alignment for action segmentation and classification is proposed to reconstruct a template sequence by estimating the mean action of a class category, which calculates the distance between a single image and a template sequence by sparse coding in Dynamic Time Warping. The proposed method, the methods of Kulkarni et al. [Continuous action recognition based on sequence alignment, Int. J. Comput. Vis. pp. 1–26.] and Hoai et al. [Joint segmentation and classification of human actions in video, IEEE Conf. Computer Vision and Pattern Recognition, 2008, pp. 108–119.] are compared on the recognition accuracy of the continuous recognition and isolated recognition, which clearly shows that the proposed method outperforms the other methods. When applied to continuous gesture classification, it not only can recognize the gesture categories more quickly and accurately, but is more realistic in solving continuous action recognition problems in a video than the other existing methods.

Dynamic time warping based connectivity classification of event-related potentials

2019 ◽  
Author(s):  
Kadhum Kareem Al-rubaye ◽  
Oğuz Bayat ◽  
Osman Nuri Ucan ◽  
Dilek Göksel Duru ◽  
Adil Deniz Duru
Keyword(s):  
Dynamic Time Warping ◽  
Event Related Potentials ◽  
Time Warping ◽  
Related Potentials ◽  
Dynamic Time

scholarly journals Classification of genomic signals using dynamic time warping

2013 ◽  
Vol 14 (Suppl 10) ◽  
pp. S1 ◽  
Author(s):  
Helena Skutkova ◽  
Martin Vitek ◽  
Petr Babula ◽  
Rene Kizek ◽  
Ivo Provaznik
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Dynamic Time ◽  
Genomic Signals
Sign in / Sign up

Export Citation Format

Share Document