A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control

By Yuanqing Li, Jiahui Pan, Fei Wang, Z. Yu. IEEE Transactions on Biomedical Engineering, 2013

386 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/9610dbc4d22904d159fba3479ffd20f2317f0ee1

How researchers see this paper

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

In Cellular and Molecular Neuroscience

1. Bin He
2. Bryan S. Baxter
3. Bradley Jay Edelman
4. Dezhong Yao

In Cognitive Neuroscience

1. Bryan S. Baxter
2. Bradley Jay Edelman
3. Bifta Sama Bari
4. Bin He
5. Sabira Khatun
6. Peng Xu
7. Ahmad Fakhri Ab. Nasir
8. M. Rashid

In Human-Computer Interaction

1. Bin He
2. Peng Xu

Citations in the corpus

• Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review (2020, methodology): “With regard to the classification techniques, the most widely used algorithm is SVM (Rebsamen et al., 2007; Shin et al., 2010; Li J. et al., 2013; Li Y. et al., 2013; Zhang R. et al., 2016), followed by LDA (Iturrate et al., 2009a; Cao et al., 2014).”
• EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019, background): “, offering more discriminant information) to improve the recognition accuracy for emotion-based HCI system [45-48].”
• EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks (2015, background): “such as the P300 [4]–[6], steady-state visual evoked potentials [7]–[9], slow cortical potentials [10], and sensorimotor rhythms (SMRs) [11], [12].”