P300-Based Brain-Neuronal Computer Interaction for Spelling Applications

Postelnicu, Cristian-Cezar; Talabă, Doru

doi:10.1109/tbme.2012.2228645

Cited by 54 publications

(25 citation statements)

References 46 publications

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“…The former can evoke SSEPs [89,90], and the latter elicits either ERPs or motion-onset (visual) evoked potentials (mVEPs) with different sensory modalities [39,80,95,96]. The mVEP signature was first employed by Guo et al [97], and the motion-onset VEP-based BCI has the advantages of less visual fatigue and discomfort compared to other visual-based BCI systems [98].…”

Section: Study 1: Taxonomy Of Hybrid Bcismentioning

confidence: 99%

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

et al. 2017

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A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently been proposed to address the limitations of conventional single BCI system. Although some hybrid BCI studies have shown promising results, the field of hybrid BCI is still in its infancy and there is much to be done. Especially, since the hybrid BCI systems are so complicated and complex, it is difficult to understand the constituent and role of a hybrid BCI system at a glance. Also, the complicated and complex systems make it difficult to evaluate the usability of the systems. We systematically reviewed and analyzed the current state-of-the-art hybrid BCI studies, and proposed a systematic taxonomy for classifying the types of hybrid BCIs with multiple taxonomic criteria. After reviewing 74 journal articles, hybrid BCIs could be categorized with respect to 1) the source of brain signals, 2) the characteristics of the brain signal, and 3) the characteristics of operation in each system. In addition, we exhaustively reviewed recent literature on usability of BCIs. To identify the key evaluation dimensions of usability, we focused on task and measurement characteristics of BCI usability. We classified and summarized 31 BCI usability journal articles according to task characteristics (type and description of task) and measurement characteristics (subjective and objective measures). Afterwards, we proposed usability dimensions for BCI and hybrid BCI systems according to three core-constructs: Satisfaction, effectiveness, and efficiency with recommendations for further research. This paper can help BCI researchers, even those who are new to the field, can easily understand the complex structure of the hybrid systems at a glance. Recommendations for future research can also be helpful in establishing research directions and gaining insight in how to solve ergonomics and HCI design issues surrounding BCI and hybrid BCI systems by usability evaluation.

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Section: Study 1: Taxonomy Of Hybrid Bcismentioning

confidence: 99%

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

et al. 2017

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“…Postelnicu and Talaba designed a hybrid speller making use of EEG and ECoG signals. The design used half checkboard paradigm (HCBP) [11]. Zhengui Gu and Zhuliang Yu proposed an online semi-supervised speller.…”

Section: Literature Surveymentioning

confidence: 99%

Design and Implementation of a Speller based on EMG Signal

Prasad¹,

Swarnkar²,

Hashmi³

et al. 2017

IJCIS

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A speller is a communication device designed for those suffering from neuromuscular disorders having difficulty to speak. An EMG based design is proposed which uses eye blinks for character selection that offers high accuracy and more comfort to the user. The eye blink signals are feature extracted using Fast Walsh Hadamard Transform (FWHT) and classified using Naive Bayes Classifier. The proposed design has achieved an accuracy of 100% for all users. The average values achieved for spelling rate was 12.12 characters/minute and ITR was 71.39 bits/minute.

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“…MIs allow a person to communicate with a robot by simultaneously using speech, gesture, gaze, facial expressions or, more recently, brain signals [5]. Using a pointing gesture to indicate a location or to select an object, combined with speech in order to express the desired intent, would be an example of a typical case of MI; this is also the topic of our work.…”

Section: Introductionmentioning

confidence: 99%

Point-and-Command Paradigm for Interaction with Assistive Robots

Boboc

Dumitru

Antonya

2015

International Journal of Advanced Robotic Systems

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This paper presents a multi-modal interface for the interaction between a human user and an assistive humanoid robot. The interaction is performed through gestural commands and a dialogue mechanism to provide a 'natural' means for the user to command an assistive robot to perform several given tasks. A "Point-and-Command" interaction concept was proposed with the aim of providing the user with an easy-to-use and intuitive interface and to improve the efficiency of human-robot collaboration. Likewise, a decision support system (DSS) was implemented based on fuzzy logic, in order to warn the user when an active robot is about to become unusable and should be replaced. Thus, the interaction time, which depends on the robot's battery life, can be increased by replacing the assistant with another more fully charged one, making the interaction seem more natural.

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P300-Based Brain-Neuronal Computer Interaction for Spelling Applications

Cited by 54 publications

References 46 publications

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

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

Design and Implementation of a Speller based on EMG Signal

Point-and-Command Paradigm for Interaction with Assistive Robots

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