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Titlebook: Brain-Computer Interfaces; Applying our Minds t Desney S. Tan,Anton Nijholt Book 2010 Springer-Verlag London Limited 2010 Brain-Computer In

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期刊全称Brain-Computer Interfaces
期刊简称Applying our Minds t
影响因子2023Desney S. Tan,Anton Nijholt
视频video
发行地址Explores challenges and opportunities for using brain sensing in HCI, in particular for intentional brain control and for evaluation and adaptation of user interfaces.Surveys Human-Computer Interactio
学科分类Human–Computer Interaction Series
图书封面Titlebook: Brain-Computer Interfaces; Applying our Minds t Desney S. Tan,Anton Nijholt Book 2010 Springer-Verlag London Limited 2010 Brain-Computer In
影响因子For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recentadvances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought.Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the st
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1571-5035 ptation of user interfaces.Surveys Human-Computer InteractioFor generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of
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From Brain Signals to Adaptive Interfaces: Using fNIRS in HCIexplores the kinds of states that can be measured with fNIRS, and we describe initial research and prototypes that can use this objective, real time information about users’ states as input to adaptive user interfaces.
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Applications for Brain-Computer Interfacesplications, making them promising not only as assistive technologies but also for mainstream applications. This chapter presents a survey of applications for BCI systems, both historical and recent, in order to characterize the broad range of possibilities for neural control.
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Direct Neural Control of Anatomically Correct Robotic Handsstbed (ACT) Hand. These technologies are described and some examples of their performance are given. We conclude by describing the advantages of merging these approaches, with the goal of achieving dexterous control of a prosthetic hand.
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