Recent Advances of P300 Speller Paradigms and Algorithms

被引：6

作者：

Fang, Tao ^{[1
]}

Song, Zuoting ^{[1
]}

Niu, Lan ^{[2
]}

Le, Song ^{[1
]}

Zhang, Yuan ^{[1
]}

Zhang, Xueze ^{[1
]}

Zhan, Gege ^{[1
]}

Wang, Shouyan ^{[3
]}

Li, Hui ^{[4
]}

Lin, Yifang ^{[5
]}

Jia, Jie ^{[5
]}

Zhang, Lihua ^{[1
,2
]}

Kang, Xiaoyang ^{[1
,2
,6
]}

机构：

[1] Fudan Univ, Engn Res Ctr AI & Robot, Minist Educ,Inst AI & Robot,Acad Engn & Technol, Shanghai Engn Res Ctr AI & Robot,MOE Frontiers Ct, Shanghai, Peoples R China

[2] Ji Hua Lab, Foshan, Guangdong, Peoples R China

[3] Fudan Univ, Inst Sci & Technol Brain Inspired Intelligence, Shanghai, Peoples R China

[4] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China

[5] Fudan Univ, Huashan Hosp, Dept Rehabil Med, Shanghai, Peoples R China

[6] Zhejiang Lab, Res Ctr Intelligent Sensing, Hangzhou 311100, Peoples R China

来源：

2021 9TH IEEE INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI) | 2021年

基金：

中国国家自然科学基金;

关键词：

Electroencephalogram (EEG); Brain Computer Interface (BCI); P300; speller; INTERFACE; PERFORMANCE;

D O I：

10.1109/BCI51272.2021.9385369

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The P300 speller is the most common application that uses brain-computer interface (BCI) for object control. At present, many researches use the P300 for the application of text input. However, there is no unified standard in the design of P300 signal induced interface, signal acquisition process, and signal processing method. Therefore, we searched the articles about P300 speller design in recent years and summarized the key technical improvements. This review focuses on the design of signal induced interface, as well as the algorithms commonly used in signal processing. We particularly emphasized the design ideas of the induced interface, as well as the advantages and limitations of the algorithm. Only by improving or combining the existing induced interface morphology and processing algorithms, then creating new methods, can enhance the practical application capability of P300 speller.

引用

页码：229 / 234

页数：6

共 50 条

[21] Improving P300 Based Speller by Feature Selection
Kamel, Mahmoud I.
Hadi, Anas A.
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2014, 4 (04) : 469 - 487
[22] Exploiting Sparse Representation in the P300 Speller Paradigm
Hongma Liu
Yali Li
Shengjin Wang
Tsinghua Science and Technology, 2021, 26 (04) : 440 - 451
[23] A Stacked Autoencoders Approach for a P300 Speller BCI
Ghazikhani, Hamed
Rouhani, Modjtaba
2018 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE), 2018, : 1 - 6
[24] A study of classification techniques on P300 speller dataset
Sarraf J.
Vaibhaw
Pattnaik P.K.
Materials Today: Proceedings, 2023, 80 : 2047 - 2050
[25] Spectral Components of the P300 Speller Response in Electrocorticography
Krusienski, Dean J.
Shih, Jerry J.
2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2011, : 282 - 285
[26] Imagining the P300 Speller: Good idea or nonsense?
Kuebler, Andrea
Botrel, Loic
2019 7TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2019, : 61 - 66
[27] Exploiting Sparse Representation in the P300 Speller Paradigm
Liu, Hongma
Li, Yali
Wang, Shengjin
TSINGHUA SCIENCE AND TECHNOLOGY, 2021, 26 (04) : 440 - 451
[28] A comparison of face speller approaches for P300 BCIs
Guger, Christoph
Ortner, Rupert
Dimov, Slav
Allison, Brendan
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 4809 - 4812
[29] A study of data reduction for P300 speller system
Rittikun, Kittisak
Boonpramuk, Panuthat
Prechaprapranwong, Prapong
2014 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2014,
[30] Optimization of BCI speller based on P300 potential
Thulasidas, Manoj
Guan, Cuntai
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5396 - 5399

← 1 2 3 4 5 →