A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors

By Xu Zhang, Xiang Chen, Yun Li, V. Lantz, Kongqiao Wang, Jihai Yang. IEEE transactions on systems, man and cybernetics. Part A. Systems and humans, 2011

594 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e2d5565a505b91df96df178b4f81d57c795af877

How researchers see this paper

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

In Biomedical Engineering

1. Zaid Bin Omar
2. Hong Cheng
3. J. Laviola
4. Mohamed Hisham Jaward
5. Zicheng Liu
6. M. Cheok
7. Yingli Tian
8. Xiaodong Yang

In Human-Computer Interaction

1. Zaid Bin Omar
2. Hong Cheng
3. J. Laviola
4. Mohamed Hisham Jaward
5. Lu Yang
6. Zicheng Liu
7. M. Cheok
8. Hossein Rahmani

Citations in the corpus

• 3D Gestural Interaction: The State of the Field (2013, methodology): “[106] Decision trees fused with HMMs 72 96.”
• Survey on 3D Hand Gesture Recognition (2016, methodology): “In the first case, accelerometers or gyros are used to capture the movement of hands and fingers [5].”
• A review of hand gesture and sign language recognition techniques (2017, background): “Zhang et al. [73] uses a fusion of 3-axis input from accelerometer and 5-channel of EMG signals attached on the hand of the user.”