User profiles for W. Rosenstiel
Wolfgang RosenstielInformatik Verified email at uni-tuebingen.de Cited by 14660 |
An MEG-based brain–computer interface (BCI)
Brain–computer interfaces (BCIs) allow for communicating intentions by mere brain activity,
not involving muscles. Thus, BCIs may offer patients who have lost all voluntary muscle …
not involving muscles. Thus, BCIs may offer patients who have lost all voluntary muscle …
EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions
…, A Bruns, C Aufmuth, M Bogdan, W Rosenstiel… - Clinical …, 2011 - Elsevier
OBJECTIVE: The purpose of this study is to show the effectiveness of EEG alpha spindles,
defined by short narrowband bursts in the alpha band, as an objective measure for assessing …
defined by short narrowband bursts in the alpha band, as an objective measure for assessing …
Safety evaluation of automotive electronics using virtual prototypes: State of the art and research challenges
…, F Poppen, H Post, S Reiter, W Rosenstiel… - Proceedings of the 51st …, 2014 - dl.acm.org
… Rosenstiel. A fast and accurate fpga-based fault injection system. In IEEE 21st Annual …
Bringmann, T Schweizer, and W. Rosenstiel. Stml: Bridging the gap between fpga design and hdl …
Bringmann, T Schweizer, and W. Rosenstiel. Stml: Bridging the gap between fpga design and hdl …
Excuse: Robust pupil detection in real-world scenarios
The reliable estimation of the pupil position is one the most important prerequisites in gaze-based
HMI applications. Despite the rich landscape of image-based methods for pupil …
HMI applications. Despite the rich landscape of image-based methods for pupil …
Object-oriented Bayesian networks for detection of lane change maneuvers
…, A Tamke, A Wedel, W Rosenstiel - IEEE Intelligent …, 2012 - ieeexplore.ieee.org
This article introduces a novel approach towards the recognition of typical driving maneuvers
in structured highway scenarios and shows some key benefits of traffic scene modeling …
in structured highway scenarios and shows some key benefits of traffic scene modeling …
Methods towards invasive human brain computer interfaces
…, M Schröder, N Hill, W Rosenstiel… - Advances in neural …, 2004 - proceedings.neurips.cc
During the last ten years there has been growing interest in the develop-ment of Brain
Computer Interfaces (BCIs). The field has mainly been driven by the needs of completely …
Computer Interfaces (BCIs). The field has mainly been driven by the needs of completely …
[HTML][HTML] Online adaptation of a c-VEP brain-computer interface (BCI) based on error-related potentials and unsupervised learning
… letter W) should be used during the calibration. In contrast to the calibration described before,
the subject could freely choose between fixating the letter J or the letter W … to letter J and W. …
the subject could freely choose between fixating the letter J or the letter W … to letter J and W. …
Neural mechanisms of brain–computer interface control
Brain–computer interfaces (BCIs) enable people with paralysis to communicate with their
environment. Motor imagery can be used to generate distinct patterns of cortical activation in …
environment. Motor imagery can be used to generate distinct patterns of cortical activation in …
Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI
… The cross-validation output was a plot showing estimated sensitivity, specificity and acc
ErrP as a function of w - 1 . A user-specific value of w - 1 satisfying our conditions of a minimum …
ErrP as a function of w - 1 . A user-specific value of w - 1 satisfying our conditions of a minimum …
Driver-activity recognition in the context of conditionally autonomous driving
…, E Kasneci, W Stolzmann, W Rosenstiel - 2015 IEEE 18th …, 2015 - ieeexplore.ieee.org
This paper presents a novel approach to automated recognition of the driver's activity, which
is a crucial factor for determining the take-over readiness in conditionally autonomous …
is a crucial factor for determining the take-over readiness in conditionally autonomous …