Results 271 to 280 of about 928,321 (341)
The challenge of analog mix-mode integrated circuit design for brain computer interface
Extended Abstracts of the 2003 International Conference on Solid State Devices and Materials, 2003 The requirement of IC for the brain computer interface (BCI) is discussed. An analog-digital mixmode IC used for cochlear implant is designed using CMOS process. Index Terms — low power IC, brain computer interface, brain machine interface.
Zhihua Wang, Chunwei Zhang, Dongmei Li
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International journal of human computer interactions, 2023 In order to adapt to the development of teaching informatization and meet the needs of students, teachers and parents, it is necessary to strengthen the active participation of students and integrate various curriculum resources, and improve teaching ...
Xiu Jun Wang
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Idle Mode Detection for Somatosensory-Based Brain-Computer Interface
, 2015 Objective. Idle mode detection is a vital problem to be solved in self-paced asynchronized BCI, because patients need to control the BCI system whenever he or she wants, rather than output commands according to the system cues which is essentially different between self-paced and synchronized BCIs.
Xiaokang Shu +4 more
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Cognitive Constraint Rules In Design Of Multi-mode Computer Interfaces For Disabled Users
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 2005 The authors present a scheme for custom design of computer interfaces for users with disabilities. Optimization is based on calculation of a benchmark score which estimates the rate at which the individual will be able to use particular application software.
Michael Rosen +1 more
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Study on the Interactive Mode of Eye Control Mode in Human–Computer Interface
, 2019 The ergonomic experiment of human-computer interaction mode of eye movement control is carried out for efficient and precise interaction requirements of the human-machine interface. Based on eye movement behavior, operational performance and subjective feeling data, the advantages and disadvantages of eye movement control behaviors such as eye gaze and
Yingwei Zhou +5 more
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Investigation of voice and text output modes with abstraction in a computer interface
Interacting with Computers, 1996 A human-computer interface is described, which was designed to study user preferences and the effectiveness of output modes and levels of information abstraction in a decision making environment. The interface was tested in an exploratory study of an apartment selection problem.
Norm Archer +3 more
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Comparison of Three Computer Scanning Modes as an Interface Method for Persons With Cerebral Palsy
The American Journal of Occupational Therapy, 1992 Abstract Occupational therapists are becoming increasingly involved with interface assessments. This involvement is improving the ability of persons with physical disabilities to interact with computers, augmentative communication aids, and other devices. The ability to use these devices facilitates participation in activities that would
Jennifer Angelo
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Batch Mode Active Learning Algorithm Combining with Self-training for Multiclass Brain-computer Interfaces [PDF]
Journal of Information and Computational Science, 2015 In this paper, an batch mode active learning algorithm combining with the beneflts of self-training for solving the multiclass Brain-computer Interface (BCI) problem, which initially only needs a small set of labeled samples to train classiflers. The algorithm applied active learning to select the most informative samples and self-training to select ...
Minyou Chen
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2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023 The inductive tongue-computer interface allows individuals with tetraplegia to control assistive devices. However, controlling assistive robotic arms often requires more than 14 different commands, which cannot always fit into a single control layout.
Ana S. Santos Cardoso +4 more
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2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 This paper presents a novel method, based on multi-channel Empirical Mode Decomposition (EMD), of classifying the electroencephalogram (EEG) recordings of imagined movement by a subject within a brain-computer interfacing (BCI) framework. EMD is a technique that divides any non-linear or non-stationary signal into groups of frequency harmonics, called ...
Simon Davies, Christopher J. James
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