Hand gesture recognition with leap motion and kinect devices
By Giulio Marin, Fabio Dominio, Pietro Zanuttigh. International Conference on Information Photonics, 2014
432 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/6da6de7f9a8c4eff97560ee42a062e43f5dce468
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
- Jan Kautz
- Pavlo Molchanov
- Dacheng Tao
- Luc Van Gool
- Stephen Tyree
- Xiaodong Yang
- Ming-Hsuan Yang
- Yi Yang
In Developmental and Educational Psychology
- Michael Firman
- Zaid Bin Omar
- Mohamed Hisham Jaward
- Jan Kautz
- Pavlo Molchanov
- Kihwan Kim
- Shalini Gupta
- M. Cheok
In Human-Computer Interaction
- Michael Firman
- Zaid Bin Omar
- Mohamed Hisham Jaward
- Jan Kautz
- Pavlo Molchanov
- Kihwan Kim
- Xiaodong Yang
- Shalini Gupta
Citations in the corpus
- Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks (2016, background): “Recently, several public dynamic gesture datasets have been introduced [5, 18, 19, 27].”
- A review of hand gesture and sign language recognition techniques (2017, methodology): “Marin et al. [100] utilized LMC and Kinect to obtain position of fingertips, palm center and hand orientation features obtained from LMC together with color and depth information from Kinect and form a histogram of features.”
- RGBD Datasets: Past, Present and Future (2016, methodology): “LTTM MS Kinect and Leap Motion [71] 14 10 1400 American Sign Language, recorded using Kinect and the Leap Motion ’14”