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Jan 1, 2019 · The Brain-Computer Interface (BCI), defined as systems that allow people to use a computer, an electromechanical arm or various neuroprostheses without the use of motor nervous systems, is a...
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Sep 16, 2019 · From a Human-Computer Interaction perspective, we propose a new definition of Brain-Computer Interfaces as “any artificial system that transforms brain activity into input of a computer...
Jul 29, 2016 · Brain–computer interfaces (BCI) are devices which measure brain activity and translate it into messages or commands, thereby opening up many investigation and application possibilities. This book provides keys for understanding and designing these multi-disciplinary interfaces, which require many fields of expertise such as neuroscience ...
Sep 16, 2019 · From a Human-Computer Interaction perspective, we propose a new definition of Brain-Computer Interfaces as “any artificial system that transforms brain activity into input of a computer process”. As they are interfaces, their definition should not include the finality and objective of the system they are used to interact with.
A Traditional Definition of a BCI A brain–computer interface (BCI), sometimes called a direct neural interface or a brain–machine interface, is a direct communication pathway between a brain and an external device. BCIs are often aimed at assisting, augmenting or repairing human cognitive or sensory-motor functions. Wolpaw et al. 2002.
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Brain–computer interfacing aims at directly capturing brain activity in order to enable a user to drive an application such as a wheelchair without using peripheral neural or motor systems, but the combination of minds and machines through BCI’s and intelligent devices (IDs) can affect a user's sense of agency. Expand.
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What is a brain computer interface and how does it work?
What is a BCI (Brain–computer interface)?
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Jan 9, 2018 · This handbook details clinical, therapeutic and human-computer interfaces applications of BCI and various aspects of human cognition and behavior such as perception, affect, and action and provides a synopsis of key technological and theoretical advances directly applicable to brain–computer interfacing technologies.
