Activity Recognition for Natural Human Robot Interaction

By Addwiteey Chrungoo, Manimaran Sivasamy Sivamurugan, Balaraman Ravindran. 2014

41 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, 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. Chenyang Zhang
2. Zhi Liu
3. Yingli Tian
4. Wanqing Li
5. Pichao Wang
6. Hossein Rahmani
7. Philip O. Ogunbona
8. Zhimin Gao

In Human-Computer Interaction

1. Chenyang Zhang
2. Zhi Liu
3. Yingli Tian
4. Hossein Rahmani
5. Xiaodong Yang

Citations in the corpus

• Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates (2017, neutral): “[86] Geometric 92.”
• 3D-based Deep Convolutional Neural Network for action recognition with depth sequences (2016, methodology): “…The performance of our method on the UTKinect-Action3D dataset, compared to the state-of-the-art approaches 90.92% Devanne et al. (2013)[51] 91.5% Chrungoo et al. (2014)[52] 91.96% Vemulapalli et al. (2014)[11] 97.08% 3D 2 CNN 82% JointVector 93% Proposed 96% samples were used for training and…”