Survey on 3D Hand Gesture Recognition

By Hong Cheng, Lu Yang, Zicheng Liu. 2016

320 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Pichao Wang
2. Wanqing Li
3. Philip O. Ogunbona
4. Sergio Escalera
5. Jun Wan
6. Zhimin Gao
7. M. Flickner
8. Brian Taba

In Control and Systems Engineering

1. Jun Wan
2. Wanqing Li
3. Philip O. Ogunbona
4. Sergio Escalera
5. Pichao Wang

In Human-Computer Interaction

1. Pichao Wang
2. Philip O. Ogunbona
3. Wanqing Li
4. Sergio Escalera
5. Jun Wan
6. Zhimin Gao
7. Chang-Fu Tang
8. Yonghong Hou

Citations in the corpus

• RGB-D-based Human Motion Recognition with Deep Learning: A Survey (2017, background): “The sources of the datasets are mainly of three categories (Chen et al., 2013; Cheng et al., 2016; Han et al., 2017): Motion capture (Mocap) system, structured-light cameras (e.”
• A Low Power, Fully Event-Based Gesture Recognition System (2017, background): “Hand gestures are actively used in human-computer interaction in applications spanning sign-language recognition, virtual manipulation, daily assistance, gaming, and human-robot interaction [6].”