Skeleton Based Dynamic Hand Gesture Recognition using LSTM and CNN-Reference-Cited by-同舟云学术

Skeleton Based Dynamic Hand Gesture Recognition using LSTM and CNN

Published:2020-08-05 Issue: Volume: Page:
ISSN:
Container-title:2020 2nd International Conference on Image Processing and Machine Vision
language:
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Author:

Ikram Aamrah¹,Liu Yue²

Affiliation:

1. Beijing Institute of Technology, China

2. CFVE of Beijing Film Academy 4 Xitucheng Road Haidian Beijing China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3421558.3421568

Reference20 articles.

1. Voronkov A. 2014. Keynote talk: EasyChair. In Proceeedings of the 29th ACM/IEEE International Conference on Automated Software Engineering (pp. 3-4). ACM. B. Ionescu D. Coquin P. Lambert and V. Buzuloiu “Dynamic hand gesture recognition using the skeleton of the hand ” EURASIP Journal on Advances in Signal Processing vol. 2005 no. 13 pp. 2101–2109 2005. Voronkov A. 2014. Keynote talk: EasyChair. In Proceeedings of the 29th ACM/IEEE International Conference on Automated Software Engineering (pp. 3-4). ACM. B. Ionescu D. Coquin P. Lambert and V. Buzuloiu “Dynamic hand gesture recognition using the skeleton of the hand ” EURASIP Journal on Advances in Signal Processing vol. 2005 no. 13 pp. 2101–2109 2005.

2. N. H. A-Q. Dardas. 2012. Real-time hand gesture detection and recognition for human computer interaction Ph.D. dissertation Universite ́ d'Ottawa/University of Ottawa. N. H. A-Q. Dardas. 2012. Real-time hand gesture detection and recognition for human computer interaction Ph.D. dissertation Universite ́ d'Ottawa/University of Ottawa.

3. Y.Yin 2014. Real-time continuous gesture recognition for natural multi modal interaction ” Ph.D. dissertation MIT. Y.Yin 2014. Real-time continuous gesture recognition for natural multi modal interaction ” Ph.D. dissertation MIT.

4. Depth estimation for speckle projection system using progressive reliable points growing matching

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