BLSTM-RNN Based 3D Gesture Classification

By Grégoire Lefebvre, Samuel Berlemont, Franck Mamalet, Christophe Garcia. 2013

80 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jun Liu
2. Cuiling Lan
3. Wentao Zhu
4. Xiaohui S. Xie
5. Wenjun Zeng
6. Yanghao Li
7. Junliang Xing
8. Pichao Wang

Citations in the corpus

• Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks (2016, background): “In contrast, a gesture recognition system (Lefebvre et al. 2013) employs a shallow bidirectional LSTM with only one forward hidden layer and one backward hidden layer to explore long-range temporal dependencies.”
• Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks (2017, methodology): “Recurrent Neural Network has many successful applications for modeling of sequential data such as handwriting recognition [28], [29], gesture recognition [30] and video description [10].”