@article{53356, author = {{Terhörst, Philipp and Huber, Marco and Damer, Naser and Kirchbuchner, Florian and Raja, Kiran and Kuijper, Arjan}}, issn = {{2637-6407}}, journal = {{IEEE Transactions on Biometrics, Behavior, and Identity Science}}, keywords = {{Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Instrumentation}}, number = {{2}}, pages = {{288--297}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Pixel-Level Face Image Quality Assessment for Explainable Face Recognition}}}, doi = {{10.1109/tbiom.2023.3263186}}, volume = {{5}}, year = {{2023}}, } @article{34617, author = {{Huber, Marco and Terhörst, Philipp and Kirchbuchner, Florian and Damer, Naser and Kuijper, Arjan}}, journal = {{33nd British Machine Vision Conference 2022}}, keywords = {{Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences}}, publisher = {{arXiv}}, title = {{{Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition}}}, doi = {{10.48550/ARXIV.2210.10354}}, year = {{2022}}, } @article{57971, abstract = {{Repetitive TMS (rTMS) with a frequency of 5-10~Hz is widely used for language mapping. However, it may be accompanied by discomfort and is limited in the number and reliability of evoked language errors. We, here, systematically tested the influence of different stimulation frequencies (i.e., 10, 30, and 50 Hz) on tolerability, number, reliability, and cortical distribution of language errors aiming at improved language mapping. 15 right-handed, healthy subjects (m~=~8, median age: 29 yrs) were investigated in two sessions, separated by 2-5 days. In each session, 10, 30, and 50 Hz rTMS were applied over the left hemisphere in a randomized order during a picture naming task. Overall, 30 Hz rTMS evoked significantly more errors (20 $\pm$ 12{%}) compared to 50 Hz (12 $\pm$ 8{%}; p {\textless}.01), whereas error rates were comparable between 30/50 and 10~Hz (18 $\pm$ 11{%}). Across all conditions, a significantly higher error rate was found in Session 1 (19 $\pm$ 13{%}) compared to Session 2 (13 $\pm$ 7{%}, p {\textless}.05). The error rate was poorly reliable between sessions for 10 (intraclass correlation coefficient, ICC~=~.315) and 30 Hz (ICC~=~.427), whereas 50 Hz showed a moderate reliability (ICC~=~.597). Spatial reliability of language errors was low to moderate with a tendency toward increased reliability for higher frequencies, for example, within frontal regions. Compared to 10~Hz, both, 30 and 50 Hz were rated as less painful. Taken together, our data favor the use of rTMS-protocols employing higher frequencies for evoking language errors reliably and with reduced discomfort, depending on the region of interest.}}, author = {{Nettekoven, Charlotte and Pieczewski, Julia and Neuschmelting, Volker and Jonas, Kristina and Goldbrunner, Roland and Grefkes, Christian and Weiss Lucas, Carolin}}, journal = {{Human brain mapping}}, keywords = {{Adult, Brain Mapping, Cerebral Cortex/diagnostic imaging/physiology, Female, Humans, Magnetic Resonance Imaging, Male, Pattern Recognition, Psycholinguistics, Reproducibility of Results, Speech/physiology, Transcranial Magnetic Stimulation, Visual/physiology, Young Adult}}, number = {{16}}, pages = {{5309–5321}}, title = {{{Improving the efficacy and reliability of rTMS language mapping by increasing the stimulation frequency}}}, doi = {{10.1002/hbm.25619}}, volume = {{42}}, year = {{2021}}, } @article{11950, abstract = {{Advances in electromyographic (EMG) sensor technology and machine learning algorithms have led to an increased research effort into high density EMG-based pattern recognition methods for prosthesis control. With the goal set on an autonomous multi-movement prosthesis capable of performing training and classification of an amputee’s EMG signals, the focus of this paper lies in the acceleration of the embedded signal processing chain. We present two Xilinx Zynq-based architectures for accelerating two inherently different high density EMG-based control algorithms. The first hardware accelerated design achieves speed-ups of up to 4.8 over the software-only solution, allowing for a processing delay lower than the sample period of 1 ms. The second system achieved a speed-up of 5.5 over the software-only version and operates at a still satisfactory low processing delay of up to 15 ms while providing a higher reliability and robustness against electrode shift and noisy channels.}}, author = {{Boschmann, Alexander and Agne, Andreas and Thombansen, Georg and Witschen, Linus Matthias and Kraus, Florian and Platzner, Marco}}, issn = {{0743-7315}}, journal = {{Journal of Parallel and Distributed Computing}}, keywords = {{High density electromyography, FPGA acceleration, Medical signal processing, Pattern recognition, Prosthetics}}, pages = {{77--89}}, publisher = {{Elsevier}}, title = {{{Zynq-based acceleration of robust high density myoelectric signal processing}}}, doi = {{10.1016/j.jpdc.2018.07.004}}, volume = {{123}}, year = {{2019}}, } @inproceedings{15873, author = {{Boschmann, Alexander and Agne, Andreas and Witschen, Linus Matthias and Thombansen, Georg and Kraus, Florian and Platzner, Marco}}, booktitle = {{2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)}}, isbn = {{9781467394062}}, keywords = {{Electromyography, Feature extraction, Delays, Hardware Pattern recognition, Prosthetics, High definition video}}, location = {{Mexiko City, Mexiko}}, publisher = {{IEEE}}, title = {{{FPGA-based acceleration of high density myoelectric signal processing}}}, doi = {{10.1109/reconfig.2015.7393312}}, year = {{2016}}, } @article{6081, abstract = {{The law of prior entry states that attended objects come to consciousness more quickly than unattended ones. This has been well established in spatial cueing paradigms, where two task-relevant stimuli are presented near-simultaneously at two different locations. Here, we suggest that prior entry also plays a pivotal role in temporal attention paradigms, where stimuli appear at the same location but at distinct moments in time, in rapid serial presentation (RSVP). Specifically, we hypothesize that prior entry can explain temporal order reversals in reporting two targets from RSVP. In support of this, three experiments show that cueing attention toward either of the targets has a strong influence on order errors. We conclude that prior entry provides a viable explanation of the way in which relevant information is prioritized in RSVP. (PsycINFO Database Record (c) 2016 APA, all rights reserved)}}, author = {{Hilkenmeier, Frederic and Olivers, Christian N. L. and Scharlau, Ingrid}}, issn = {{0096-1523}}, journal = {{Journal of Experimental Psychology: Human Perception and Performance}}, keywords = {{attentional blink, attentional enhancement, lag-1 sparing, prior entry, temporal cueing, visual attention, rapid serial presentation, Adolescent, Adult, Attention, Attentional Blink, Color Perception, Cues, Female, Humans, Male, Neuropsychological Tests, Pattern Recognition, Visual, Time Factors, Visual Perception, Young Adult, Cues, Serial Recall, Visual Attention, Eyeblink Reflex}}, number = {{1}}, pages = {{180 -- 190}}, title = {{{Prior entry and temporal attention: Cueing affects order errors in RSVP.}}}, volume = {{38}}, year = {{2012}}, } @article{6085, abstract = {{In three experiments, we tested whether sequentially coding two visual stimuli can create a spatial misperception of a visual moving stimulus. In Experiment 1, we showed that a spatial misperception, the flash-lag effect, is accompanied by a similar temporal misperception of first perceiving the flash and only then a change of the moving stimulus, when in fact the two events were exactly simultaneous. In Experiment 2, we demonstrated that when the spatial misperception of a flash-lag effect is absent, the temporal misperception is also absent. In Experiment 3, we extended these findings and showed that if the stimulus conditions require coding first a flash and subsequently a nearby moving stimulus, a spatial flash-lag effect is found, with the position of the moving stimulus being misperceived as shifted in the direction of its motion, whereas this spatial misperception is reversed so that the moving stimulus is misperceived as shifted in a direction opposite to its motion when the c}}, author = {{Priess, Heinz-Werner and Scharlau, Ingrid and Becker, Stefanie I. and Ansorge, Ulrich}}, issn = {{1943-3921}}, journal = {{Attention, Perception, & Psychophysics}}, keywords = {{spatial mislocalization, sequential coding, stimulus parameters, Attention, Discrimination (Psychology), Humans, Judgment, Motion Perception, Optical Illusions, Orientation, Pattern Recognition, Visual, Psychophysics, Space Perception, Cognitive Processes, Motion Perception, Perceptual Localization, Spatial Perception, Stimulus Parameters, Consequence}}, number = {{2}}, pages = {{365 -- 378}}, title = {{{Spatial mislocalization as a consequence of sequential coding of stimuli.}}}, volume = {{74}}, year = {{2012}}, } @article{6082, abstract = {{When two targets are presented in rapid succession, the first target (T1) is usually identified, but the second target (T2) is often missed. A remarkable exception to this 'attentional blink' occurs when T2 immediately follows the first T1, at lag 1. It is then often spared but reported in the wrong order—that is, before T1. These order reversals have led to the hypothesis that 'lag 1 sparing' occurs because the two targets merge into a single episodic representation. Here, we report evidence consistent with an alternative theory: T2 receives more attention than T1, leading to prior entry into working memory. Two experiments showed that the more T2 performance exceeded that for T1, the more order reversals were made. Furthermore, precuing T1 led to a shift in performance benefits from T2 to T1 and to an equivalent reduction in order reversals. We conclude that it is not necessary to assume episodic integration to explain lag 1 sparing or the accompanying order reversals. (PsycINFO Dat}}, author = {{Olivers, Christian N. L. and Hilkenmeier, Frederic and Scharlau, Ingrid}}, issn = {{1943-3921}}, journal = {{Attention, Perception, & Psychophysics}}, keywords = {{attentional blink, order reversals, prior entry, working memory, visual attention, attentional performance, Adolescent, Adult, Attention, Attentional Blink, Color Perception, Cues, Discrimination (Psychology), Female, Humans, Male, Memory, Short-Term, Pattern Recognition, Visual, Psychophysics, Reaction Time, Reversal Learning, Sensory Gating, Serial Learning, Young Adult, Eyeblink Reflex, Stimulus Change, Stimulus Parameters, Visual Attention, Attentional Blink, Short Term Memory}}, number = {{1}}, pages = {{53 -- 67}}, title = {{{Prior entry explains order reversals in the attentional blink.}}}, volume = {{73}}, year = {{2011}}, } @article{6068, abstract = {{Attending to a location shortens the perceptual latency of stimuli appearing at this location (perceptual latency priming). According to attentional explanations, perceptual latency priming relies on the speeded transfer of attended visual information into an internal model. However, doubts about the attentional origin have repeatedly been raised because efforts to minimize response bias have been insufficient in most studies. Five experiments investigated the contribution of a response bias to perceptual latency priming (judgment bias due to the two-alternative forced-choice method and due to the existence of the prime, criterion effects or second-order bias, sensorimotor priming). If any, only small response biases were found. The results thus support the attentional explanation. (PsycINFO Database Record (c) 2016 APA, all rights reserved)}}, author = {{Scharlau, Ingrid}}, issn = {{0340-0727}}, journal = {{Psychological Research}}, keywords = {{response bias, temporal order tasks, attention manipulation, masked primes, perceptual latency priming, Adult, Attention, Discrimination Learning, Female, Humans, Male, Memory, Short-Term, Orientation, Pattern Recognition, Visual, Perceptual Masking, Psychomotor Performance, Psychophysics, Reaction Time, Serial Learning, Attention, Latent Learning, Priming, Response Bias, Visual Perception, Response Latency, Temporal Order (Judgment)}}, number = {{4}}, pages = {{224 -- 236}}, title = {{{Evidence against response bias in temporal order tasks with attention manipulation by masked primes.}}}, volume = {{68}}, year = {{2004}}, }