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Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS
When interacting with technical systems, users experience mental workload. Particularly in multitasking scenarios (e.g., interacting with the car navigation system while driving) it is desired to notExpand
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Cache-, hash-, and space-efficient bloom filters
TLDR
We propose several new variants of Bloom filters and replacements with similar functionality. Expand
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MCSTL: the multi-core standard template library
TLDR
The Multi-Core Standard Template Library (MCSTL) simplifies parallelization by providing efficient parallel implementations of the algorithms in the C++ standard Template Library. Expand
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MCSTL: The Multi-core Standard Template Library
TLDR
The Multi-Core Standard Template Library (MCSTL) simplifies parallelization by providing efficient parallel implementations of the algorithms in the STL. Expand
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Multimodal Recognition of Cognitive Workload for Multitasking in the Car
TLDR
This work describes the development and evaluation of a recognizer for different levels of cognitive workload in a driving simulator in which drivers performed a primary driving task and several secondary tasks of varying difficulty. Expand
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Hybrid fNIRS-EEG based classification of auditory and visual perception processes
TLDR
We develop a hybrid Brain-Computer Interface (BCI) which uses Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) to discriminate and detect visual and auditory stimulus processing. Expand
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Online Workload Recognition from EEG Data during Cognitive Tests and Human-Machine Interaction
TLDR
This paper presents a system for live recognition of mental workload using spectral features from EEG data classified by Support Vector Machines. Expand
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Classification of mental tasks in the prefrontal cortex using fNIRS
TLDR
We investigate the suitability of different mental tasks, namely mental arithmetics, word generation and mental rotation for fNIRS based BCIs. Expand
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Continuous Recognition of Affective States by Functional Near Infrared Spectroscopy Signals
TLDR
We present a continuous affective state monitoring system using functional near infrared spectroscopy that evaluates short windows of five seconds length to continuously recognize affective states. Expand
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Tue-SeA Real-Time Speech Command Detector for a Smart Control Room
TLDR
In this work we present an always-on speech recognition system that discriminates spoken commands directed to the system from other spoken input. Expand
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