Segmentation and recognition of continuous gesture based on chaotic theory-Reference-Cited by-同舟云学术

Segmentation and recognition of continuous gesture based on chaotic theory

Published:2019-09-10 Issue:11 Volume:39 Page:1246-1256
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Feng Guangyu¹²,Hou Wenjun³²

Affiliation:

1. School of Automation, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

2. Beijing Key Laboratory of Network Systems and Network Culture, Beijing University of Post and Telecommunication, Beijing, People’s Republic of China

3. School of Digital Media & Design, Beijing University of Post and Telecommunication, Beijing, People’s Republic of China

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2019.1661519

Reference24 articles.

1. Chai, Xiujuan, Zhipeng Liu, Fang Yin, Zhuang Liu, and Xilin Chen. 2017. “Two Streams Recurrent Neural Networks for Large-Scale Continuous GestureRecognition.” International Conference on Pattern Recognition IEEE, 2017

2. Sequential Segment Networks for Action Recognition

3. Independent coordinates for strange attractors from mutual information

4. Joshi, Ajjen, Camille Monnier, Margrit Betke, and Stan Sclaroff. 2014. “A Random Forest Approach to Segmenting and Classifying Gestures.” IEEEInternational Conference & Workshops on Automatic Face & Gesture Recognition IEEE, 2014

5. Determining embedding dimension for phase-space reconstruction using a geometrical construction

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