Muriel Lang
Muriel Lang
Specialist Development BMW
Verifierad e-postadress på tum.de - Startsida
TitelCiteras avÅr
Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks
TT Um, FMJ Pfister, D Pichler, S Endo, M Lang, S Hirche, U Fietzek, ...
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
682017
Rigid motion estimation using mixtures of projected gaussians
W Feiten, M Lang, S Hirche
Proceedings of the 16th International Conference on Information Fusion, 1465 …, 2013
172013
Gaussian process kernels for rotations and 6D rigid body motions
M Lang, O Dunkley, S Hirche
2014 IEEE International Conference on Robotics and Automation (ICRA), 5165-5170, 2014
132014
MPG-fast forward reasoning on 6 dof pose uncertainty
M Lang, W Feiten
ROBOTIK 2012; 7th German Conference on Robotics, 1-6, 2012
132012
MPG-a framework for reasoning on 6 dof pose uncertainty
W Feiten, M Lang
arXiv preprint arXiv:1707.01941, 2017
102017
Gaussian process dynamical models over dual quaternions
M Lang, M Kleinsteuber, O Dunkley, S Hirche
2015 European Control Conference (ECC), 2847-2852, 2015
92015
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization
TT Um, FMJ Pfister, DC Pichler, S Endo, M Lang, S Hirche, U Fietzek, ...
arXiv preprint arXiv:1808.02870, 2018
52018
Gaussian process for 6-DoF rigid motions
M Lang, M Kleinsteuber, S Hirche
Autonomous Robots 42 (6), 1151-1167, 2018
52018
Approximation of probability density functions on the euclidean group parameterized by dual quaternions
M Lang, V Wachtel, W Feiten
Diploma thesis, Ludwig Maximilians University, Munich, Germany, 2011
5*2011
Computationally efficient rigid-body Gaussian process for motion dynamics
M Lang, S Hirche
IEEE Robotics and Automation Letters 2 (3), 1601-1608, 2017
42017
A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease
M Lang, FMJ Pfister, J Fröhner, K Abedinpour, D Pichler, U Fietzek, ...
IEEE Transactions on Biomedical Engineering 66 (11), 3038-3049, 2019
22019
Object handover prediction using gaussian processes clustered with trajectory classification
M Lang, S Endo, O Dunkley, S Hirche
arXiv preprint arXiv:1707.02745, 2017
22017
Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networks
T Taewoong Um, FMJ Pfister, D Pichler, S Endo, M Lang, S Hirche, ...
arXiv preprint arXiv:1706.00527, 2017
22017
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization
T Taewoong Um, FMJ Pfister, DC Pichler, S Endo, M Lang, S Hirche, ...
arXiv preprint arXiv:1808.02870, 2018
12018
Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data
F Pfister, D Kulić, T Um, D Pichler, A Ahmadi, M Lang, G König, F Achilles, ...
12017
Human Motor Behavior Prediction through Gaussian Process Modeling on Manifolds
MF Lang
Technische Universität München, 2019
2019
Dynamics-based estimation of Parkinson's disease severity using Gaussian Processes
S Endo, FJ Pfister, J Fröhner, U Fietzek, D Pichler, K Abedinpour, TT Um, ...
Second IFAC Conference on Cyber-Physical & Human Systems, 2018
2018
Untersuchung und Beurteilung der motorischen Symptome der Parkinson-Erkrankung mittels eines am Handgelenk getragenen Sensors und eines Bewegungserfassungssystems
D Pichler, M Lang, FMJ Pfister, T Um, GCS König, S Endo, K Abedinpour, ...
DGN-Kongress 2017, 2017
2017
Acquisition, Validation and Preprocessing of Wrist-Worn Sensor Data in Patients with Parkinson’s Disease and Healthy Controls
D Pichler, M Lang, D Kulić, F Pfister, G Koenig, T Um, A Ahmadi, S Endo, ...
International Parkinson and Movement Disorder Society, 2017
2017
Intention Estimation using Gaussian Processes on Wearable Haptics Signals
M Lang, S Hirche
2014
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Artiklar 1–20