Convolutional Neural Networks and Long Short-Term Memory for skeleton-based human activity and hand gesture recognition

Author:

Núñez Juan C.,Cabido Raúl,Pantrigo Juan J.,Montemayor Antonio S.,Vélez José F.

Funder

FEDER

MINECO

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference62 articles.

1. A survey of human action recognition approaches that use an RGB-D sensor;Farooq,2015

2. Deep convolutional neural networks for action recognition using depth map sequences;Wang;Comput. Res. Repository (CoRR),2015

3. S. Escalera, X. Baro, J. Gonzalez, M. Bautista, M. Madadi, M. Reyes, V. Ponce, H. Escalante, J. Shotton, I. Guyon, ChaLearn Looking at People Challenge 2014: Dataset and Results, vol. 8925, Lecture Notes in Computer Science, pp. 459–473. 10.1007/978-3-319-16178-5_32

4. Ntu RGB+D: a large scale dataset for 3d human activity analysis;Shahroudy,2016

5. RGB-D-based action recognition datasets: a survey;Zhang;Pattern Recognit.,2016

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