A Multimodal Brain-arm Interface for Operation of Complex Robotic Systems and Upper Limb Motor Recovery. - Michele Folgheraiter; Elsa Andrea Kirchner; Anett Seeland; Su Kyoung Kim; Mathias Jordan; Hendrik Wöhrle; Bertold Bongardt; Steffen Schmidt; Jan Christian Albiez; Frank Kirchner (BIODEVICES, 2011)

Learning Parameters of Linear Models in Compressed Parameter Space. - Yohannes Kassahun; Hendrik Wöhrle; Alexander Fabisch; Marc Tabie (ICANN (2), 2012)

Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing. - Mario Michael Krell; Marc Tabie; Hendrik Wöhrle; Elsa Andrea Kirchner (NEUROTECHNIX, 2013)

A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data. - Hendrik Wöhrle; Johannes Teiwes; Mario Michael Krell; Elsa Andrea Kirchner; Frank Kirchner (NEUROTECHNIX, 2013)

pySPACE - a signal processing and classification environment in Python. - Mario Michael Krell; Sirko Straube; Anett Seeland; Hendrik Wöhrle; Johannes Teiwes; Jan Hendrik Metzen; Elsa Andrea Kirchner; Frank Kirchner (Frontiers Neuroinformatics, 2013)

Learning in compressed space. - Alexander Fabisch; Yohannes Kassahun; Hendrik Wöhrle; Frank Kirchner (Neural Networks, 2013)

Runtime Calibration of Online EEG based Movement Prediction using EMG Signals. - Marc Tabie; Hendrik Wöhrle; Elsa Andrea Kirchner (BIOSIGNALS, 2014)

Prediction of Movements by Online Analysis of Electroencephalogram with Dataflow Accelerators. - Hendrik Wöhrle; Johannes Teiwes; Marc Tabie; Anett Seeland; Elsa Andrea Kirchner; Frank Kirchner (NEUROTECHNIX, 2014)

Online Detection of P300 related Target Recognition Processes During a Demanding Teleoperation Task - Classifier Transfer for the Detection of Missed Targets. - Hendrik Wöhrle; Elsa Andrea Kirchner (PhyCS, 2014)

Online Classifier Adaptation for the Detection of P300 Target Recognition Processes in a Complex Teleoperation Scenario. - Hendrik Wöhrle; Elsa Andrea Kirchner (PhyCS (Selected Papers), 2014)

raxDAWN: Circumventing Overfitting of the Adaptive xDAWN. - Mario Michael Krell; Hendrik Wöhrle; Anett Seeland (NEUROTECHNIX, 2015)

Reconfigurable Hardware-Based Acceleration for Machine Learning and Signal Processing. - Hendrik Wöhrle; Frank Kirchner (SyDe Summer School, 2015)

New one-class classifiers based on the origin separation approach. - Mario Michael Krell; Hendrik Wöhrle (Pattern Recognit. Lett., 2015)

An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials. - Hendrik Wöhrle; Mario Michael Krell; Sirko Straube; Su Kyoung Kim; Elsa Andrea Kirchner; Frank Kirchner (IEEE Trans. Biomed. Eng., 2015)

A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction. - Hendrik Wöhrle; Marc Tabie; Su Kyoung Kim; Frank Kirchner; Elsa Andrea Kirchner (Sensors, 2017)

Dataflow-based parallel signal processing and classification on reconfigurable hardware. - Hendrik Wöhrle (2017)

CAEMO - A Flexible and scalable high performance matrix algebra coprocessor for embedded reconfigurable computing systems. - Hendrik Wöhrle; Frank Kirchner (Microprocess. Microsystems, 2018)

Semantic Interoperability in Cyber-Physical Systems. - Ingo Kunold; Hendrik Wöhrle; Markus Kuller; Nursi Karaoglan; Fabian Kohlmorgen; Jörg Bauer 004 (IDAACS, 2019)

Combinatorics of a Discrete Trajectory Space for Robot Motion Planning. - Felix Wiebe; Shivesh Kumar; Daniel Harnack; Malte Langosz; Hendrik Wöhrle; Frank Kirchner (IMAMR, 2020)

A Development Cycle for Automated Self-Exploration of Robot Behaviors. - Thomas M. Roehr; Daniel Harnack; Hendrik Wöhrle; Felix Wiebe; Moritz Schilling; Oscar Lima; Malte Langosz; Shivesh Kumar; Sirko Straube; Frank Kirchner (CoRR, 2020)

Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators. - Hendrik Wöhrle; Mariela De Lucas Alvarez; Fabian Schlenke; Alexander Walsemann; Michael Karagounis; Frank Kirchner (MWSCAS, 2021)

Feature Disentanglement of Robot Trajectories. - Matias Valdenegro-Toro; Daniel Harnack; Hendrik Wöhrle (CoRR, 2021)

Detection and Classification of Human Activities using Distributed Sensing of Environmental Vibrations. - Marcel Koch; Fabian Schlenke; Fabian Kohlmorgen; Markus Kuller; Jörg Bauer 004; Hendrik Wöhrle (COINS, 2022)

Embedded Real-Time Human Activity Recognition on an ESP32-S3 Microcontroller Using Ambient Audio Data. - Thomas Pfitzinger; Hendrik Wöhrle (IDAACS, 2023)

Multi-Objective Surrogate-Model-Based Neural Architecture and Physical Design Co-Optimization of Energy Efficient Neural Network Hardware Accelerators. - Hendrik Wöhrle; Felix Schneider; Fabian Schlenke; Denis Lebold; Mariela De Lucas Alvarez; Frank Kirchner; Michael Karagounis (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Recognition of Human Activities Based on Ambient Audio and Vibration Data. - Marcel Koch; Thomas Pfitzinger; Fabian Schlenke; Fabian Kohlmorgen; Roland Groll; Hendrik Wöhrle (IEEE Access, 2024)

Multi-Modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration, and Environmental Data. - Thomas Pfitzinger; Marcel Koch; Fabian Schlenke; Hendrik Wöhrle (Data, 2024)