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Hendrik Wöhrle
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- affiliation: University of Bremen, Germany
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2020 – today
- 2024
- [j8]Marcel Koch, Thomas Pfitzinger
, Fabian Schlenke, Fabian Kohlmorgen, Roland Groll, Hendrik Wöhrle
Recognition of Human Activities Based on Ambient Audio and Vibration Data. IEEE Access 12: 174399-174412 (2024) - 2023
- [j7]Hendrik Wöhrle
Multi-Objective Surrogate-Model-Based Neural Architecture and Physical Design Co-Optimization of Energy Efficient Neural Network Hardware Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 40-53 (2023) - [c15]Thomas Pfitzinger
Embedded Real-Time Human Activity Recognition on an ESP32-S3 Microcontroller Using Ambient Audio Data. IDAACS 2023: 459-464 - 2022
- [c14]Marcel Koch, Fabian Schlenke, Fabian Kohlmorgen, Markus Kuller, Jörg Bauer, Hendrik Wöhrle:
Detection and Classification of Human Activities using Distributed Sensing of Environmental Vibrations. COINS 2022: 1-6 - 2021
- [c13]Hendrik Wöhrle, Mariela De Lucas Alvarez
Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators. MWSCAS 2021: 40-45 - [i3]Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle:
Feature Disentanglement of Robot Trajectories. CoRR abs/2112.03164 (2021) - 2020
- [c12]Felix Wiebe, Shivesh Kumar, Daniel Harnack, Malte Langosz
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning. IMAMR 2020: 57-65 - [i2]Felix Wiebe, Shivesh Kumar, Daniel Harnack, Malte Langosz, Hendrik Wöhrle, Frank Kirchner:
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning. CoRR abs/2005.12064 (2020) - [i1]Thomas M. Roehr, Daniel Harnack, Hendrik Wöhrle, Felix Wiebe, Moritz Schilling, Oscar Lima, Malte Langosz, Shivesh Kumar, Sirko Straube, Frank Kirchner:
A Development Cycle for Automated Self-Exploration of Robot Behaviors. CoRR abs/2007.14928 (2020)
2010 – 2019
- 2019
- [c11]Ingo Kunold, Hendrik Wöhrle, Markus Kuller, Nursi Karaoglan, Fabian Kohlmorgen, Jörg Bauer:
Semantic Interoperability in Cyber-Physical Systems. IDAACS 2019: 797-801 - 2018
- [j6]Hendrik Wöhrle, Frank Kirchner
CAEMO - A Flexible and scalable high performance matrix algebra coprocessor for embedded reconfigurable computing systems. Microprocess. Microsystems 56: 47-63 (2018) - 2017
- [b1]Hendrik Wöhrle:
Dataflow-based parallel signal processing and classification on reconfigurable hardware. University of Bremen, Germany, 2017, pp. 1-287 - [j5]Hendrik Wöhrle, Marc Tabie, Su Kyoung Kim
A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction. Sensors 17(7): 1552 (2017) - 2015
- [j4]Mario Michael Krell
New one-class classifiers based on the origin separation approach. Pattern Recognit. Lett. 53: 93-99 (2015) - [j3]Hendrik Wöhrle
An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials. IEEE Trans. Biomed. Eng. 62(7): 1696-1705 (2015) - [c10]Mario Michael Krell
raxDAWN: Circumventing Overfitting of the Adaptive xDAWN. NEUROTECHNIX 2015: 68-75 - [c9]Hendrik Wöhrle, Frank Kirchner:
Reconfigurable Hardware-Based Acceleration for Machine Learning and Signal Processing. SyDe Summer School 2015: 311-313 - 2014
- [c8]Marc Tabie, Hendrik Wöhrle, Elsa Andrea Kirchner:
Runtime Calibration of Online EEG based Movement Prediction using EMG Signals. BIOSIGNALS 2014: 284-288 - [c7]Hendrik Wöhrle, Johannes Teiwes, Marc Tabie, Anett Seeland, Elsa Andrea Kirchner, Frank Kirchner
Prediction of Movements by Online Analysis of Electroencephalogram with Dataflow Accelerators. NEUROTECHNIX 2014: 31-37 - [c6]Hendrik Wöhrle, Elsa Andrea Kirchner:
Online Detection of P300 related Target Recognition Processes During a Demanding Teleoperation Task - Classifier Transfer for the Detection of Missed Targets. PhyCS 2014: 13-19 - [c5]Hendrik Wöhrle, Elsa Andrea Kirchner:
Online Classifier Adaptation for the Detection of P300 Target Recognition Processes in a Complex Teleoperation Scenario. PhyCS (Selected Papers) 2014: 105-118 - 2013
- [j2]Mario Michael Krell
pySPACE - a signal processing and classification environment in Python. Frontiers Neuroinformatics 7: 40 (2013) - [j1]Alexander Fabisch
Learning in compressed space. Neural Networks 42: 83-93 (2013) - [c4]Mario Michael Krell, Marc Tabie, Hendrik Wöhrle, Elsa Andrea Kirchner:
Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing. NEUROTECHNIX 2013: 41-45 - [c3]Hendrik Wöhrle, Johannes Teiwes, Mario Michael Krell, Elsa Andrea Kirchner, Frank Kirchner:
A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data. NEUROTECHNIX 2013: 46-53 - 2012
- [c2]Yohannes Kassahun, Hendrik Wöhrle, Alexander Fabisch
Learning Parameters of Linear Models in Compressed Parameter Space. ICANN (2) 2012: 108-115 - 2011
- [c1]Michele Folgheraiter, Elsa Andrea Kirchner, Anett Seeland, Su Kyoung Kim, Mathias Jordan, Hendrik Wöhrle, Bertold Bongardt, Steffen Schmidt, Jan Christian Albiez, Frank Kirchner:
A Multimodal Brain-arm Interface for Operation of Complex Robotic Systems and Upper Limb Motor Recovery. BIODEVICES 2011: 150-162
Coauthor Index
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