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[HTML][HTML] Progress in brain computer interface: Challenges and opportunities
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …
computer or other external devices. They offer an extended degree of freedom either by …
Multimodal movement prediction-towards an individual assistance of patients
Assistive devices, like exoskeletons or orthoses, often make use of physiological data that
allow the detection or prediction of movement onset. Movement onset can be detected at the …
allow the detection or prediction of movement onset. Movement onset can be detected at the …
An adaptive spatial filter for user-independent single trial detection of event-related potentials
Goal: Current brain-computer interfaces (BCIs) are usually based on various, often
supervised, signal processing methods. The disadvantage of supervised methods is the …
supervised, signal processing methods. The disadvantage of supervised methods is the …
A hybrid FPGA-based system for EEG-and EMG-based online movement prediction
A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
Embedded multimodal interfaces in robotics: applications, future trends, and societal implications
In the past, robots were primarily used to perform work that was either too hard, too
dangerous or simply too repetitive for humans, eg, assembly line work, or work that could be …
dangerous or simply too repetitive for humans, eg, assembly line work, or work that could be …
An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of p300
Advanced man-machine interfaces (MMIs) are being developed for teleoperating robots at
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …
pySPACE—a signal processing and classification environment in Python
In neuroscience large amounts of data are recorded to provide insights into cerebral
information processing and function. The successful extraction of the relevant signals …
information processing and function. The successful extraction of the relevant signals …
Handling few training data: classifier transfer between different types of error-related potentials
This paper proposes an application oriented approach that enables to transfer a classifier
trained within an experimental scenario into a more complex application scenario or a …
trained within an experimental scenario into a more complex application scenario or a …
Measuring the Improvement of the interaction comfort of a wearable exoskeleton: a multi-modal control mechanism based on force measurement and movement …
This paper presents a study conducted to evaluate and optimize the interaction experience
between a human and a 9 DOF arm-exoskeleton by the integration of predictions based on …
between a human and a 9 DOF arm-exoskeleton by the integration of predictions based on …
Comparison of sensor selection mechanisms for an ERP-based brain-computer interface
A major barrier for a broad applicability of brain-computer interfaces (BCIs) based on
electroencephalography (EEG) is the large number of EEG sensor electrodes typically used …
electroencephalography (EEG) is the large number of EEG sensor electrodes typically used …