Literature DB >> 26678249

An Auditory-Tactile Visual Saccade-Independent P300 Brain-Computer Interface.

Erwei Yin1,2, Timothy Zeyl3, Rami Saab4, Dewen Hu1, Zongtan Zhou1, Tom Chau3.   

Abstract

Most P300 event-related potential (ERP)-based brain-computer interface (BCI) studies focus on gaze shift-dependent BCIs, which cannot be used by people who have lost voluntary eye movement. However, the performance of visual saccade-independent P300 BCIs is generally poor. To improve saccade-independent BCI performance, we propose a bimodal P300 BCI approach that simultaneously employs auditory and tactile stimuli. The proposed P300 BCI is a vision-independent system because no visual interaction is required of the user. Specifically, we designed a direction-congruent bimodal paradigm by randomly and simultaneously presenting auditory and tactile stimuli from the same direction. Furthermore, the channels and number of trials were tailored to each user to improve online performance. With 12 participants, the average online information transfer rate (ITR) of the bimodal approach improved by 45.43% and 51.05% over that attained, respectively, with the auditory and tactile approaches individually. Importantly, the average online ITR of the bimodal approach, including the break time between selections, reached 10.77 bits/min. These findings suggest that the proposed bimodal system holds promise as a practical visual saccade-independent P300 BCI.

Entities:  

Keywords:  Brain–computer interface; P300 event-related potentials; auditory; bimodal stimuli; tactile

Mesh:

Year:  2015        PMID: 26678249     DOI: 10.1142/S0129065716500015

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  21 in total

1.  Online BCI Typing using Language Model Classifiers by ALS Patients in their Homes.

Authors:  William Speier; Nand Chandravadia; Dustin Roberts; S Pendekanti; Nader Pouratian
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-11-15

2.  Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI.

Authors:  Sijie Zhou; Brendan Z Allison; Andrea Kübler; Andrzej Cichocki; Xingyu Wang; Jing Jin
Journal:  Front Comput Neurosci       Date:  2016-10-13       Impact factor: 2.380

3.  A Comparative Study on the Detection of Covert Attention in Event-Related EEG and MEG Signals to Control a BCI.

Authors:  Christoph Reichert; Stefan Dürschmid; Hans-Jochen Heinze; Hermann Hinrichs
Journal:  Front Neurosci       Date:  2017-10-16       Impact factor: 4.677

4.  Method for enhancing single-trial P300 detection by introducing the complexity degree of image information in rapid serial visual presentation tasks.

Authors:  Zhimin Lin; Ying Zeng; Li Tong; Hangming Zhang; Chi Zhang; Bin Yan
Journal:  PLoS One       Date:  2017-12-28       Impact factor: 3.240

5.  Development of Single-Channel Hybrid BCI System Using Motor Imagery and SSVEP.

Authors:  Li-Wei Ko; S S K Ranga; Oleksii Komarov; Chung-Chiang Chen
Journal:  J Healthc Eng       Date:  2017-08-07       Impact factor: 2.682

6.  Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment.

Authors:  Ting Li; Jinhua Zhang; Tao Xue; Baozeng Wang
Journal:  Comput Intell Neurosci       Date:  2017-05-09

Review 7.  A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.

Authors:  Inchul Choi; Ilsun Rhiu; Yushin Lee; Myung Hwan Yun; Chang S Nam
Journal:  PLoS One       Date:  2017-04-28       Impact factor: 3.240

8.  A Ternary Brain-Computer Interface Based on Single-Trial Readiness Potentials of Self-initiated Fine Movements: A Diversified Classification Scheme.

Authors:  Elias Abou Zeid; Alborz Rezazadeh Sereshkeh; Benjamin Schultz; Tom Chau
Journal:  Front Hum Neurosci       Date:  2017-05-24       Impact factor: 3.169

9.  Anti-deception: reliable EEG-based biometrics with real-time capability from the neural response of face rapid serial visual presentation.

Authors:  Qunjian Wu; Bin Yan; Ying Zeng; Chi Zhang; Li Tong
Journal:  Biomed Eng Online       Date:  2018-05-03       Impact factor: 2.819

Review 10.  Brain-Computer Interface Spellers: A Review.

Authors:  Aya Rezeika; Mihaly Benda; Piotr Stawicki; Felix Gembler; Abdul Saboor; Ivan Volosyak
Journal:  Brain Sci       Date:  2018-03-30
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