Human behavior integration improves classification rates in real-time BCI

Bartłomiej Grychtol; H. Lakany; G. Valsan; B.A. Conway

doi:10.1109/TNSRE.2010.2053218

Human behavior integration improves classification rates in real-time BCI

Bartłomiej Grychtol, H. Lakany, G. Valsan, B.A. Conway

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to interact with their environment, communicate and control mobility aids. Two key factors which affect the performance of a BCI and its usability are the feedback given to the participant and the subject's motivation. This paper presents the results from a study investigating the effects of feedback and motivation on the performance of the Strathclyde Brain Computer Interface. The paper discusses how the performance of the system can be improved by behavior integration and human-in-the-loop design.

Original language	English
Pages (from-to)	362-368
Number of pages	7
Journal	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume	18
Issue number	4
DOIs	https://doi.org/10.1109/TNSRE.2010.2053218
Publication status	Published - Aug 2010

Keywords

brain-computer interfaces
handicapped aids
medical signal processing
sensory aids
virtual reality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TNSRE.2010.2053218

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title = "Human behavior integration improves classification rates in real-time BCI",

abstract = "Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to interact with their environment, communicate and control mobility aids. Two key factors which affect the performance of a BCI and its usability are the feedback given to the participant and the subject's motivation. This paper presents the results from a study investigating the effects of feedback and motivation on the performance of the Strathclyde Brain Computer Interface. The paper discusses how the performance of the system can be improved by behavior integration and human-in-the-loop design.",

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AU - Grychtol, Bartłomiej

AU - Lakany, H.

AU - Valsan, G.

AU - Conway, B.A.

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AB - Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to interact with their environment, communicate and control mobility aids. Two key factors which affect the performance of a BCI and its usability are the feedback given to the participant and the subject's motivation. This paper presents the results from a study investigating the effects of feedback and motivation on the performance of the Strathclyde Brain Computer Interface. The paper discusses how the performance of the system can be improved by behavior integration and human-in-the-loop design.

KW - brain-computer interfaces

KW - handicapped aids

KW - medical signal processing

KW - sensory aids

KW - virtual reality

U2 - 10.1109/TNSRE.2010.2053218

DO - 10.1109/TNSRE.2010.2053218

M3 - Article

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JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering

JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering

IS - 4

ER -

Human behavior integration improves classification rates in real-time BCI

Abstract

Keywords

UN SDGs

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