Thomas Kopinski
Thomas Kopinski
University of South Westphalia
No verified email
Cited by
Cited by
Hand gesture recognition in automotive human–machine interaction using depth cameras
N Zengeler, T Kopinski, U Handmann
Sensors 19 (1), 59, 2018
Dynamic hand gesture recognition for mobile systems using deep LSTM
A Sarkar, A Gepperth, U Handmann, T Kopinski
Intelligent Human Computer Interaction: 9th International Conference, IHCI …, 2017
A pragmatic approach to multi-class classification
T Kopinski, S Magand, U Handmann, A Gepperth
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Free-hand gesture recognition with 3D-CNNs for in-car infotainment control in real-time
F Sachara, T Kopinski, A Gepperth, U Handmann
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
A real-time applicable 3d gesture recognition system for automobile hmi
T Kopinski, S Geisler, LC Caron, A Gepperth, U Handmann
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
Touch versus mid-air gesture interfaces in road scenarios-measuring driver performance degradation
T Kopinski, J Eberwein, S Geisler, U Handmann
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
Neural network based data fusion for hand pose recognition with multiple tof sensors
T Kopinski, A Gepperth, S Geisler, U Handmann
International Conference on Artificial Neural Networks, 233-240, 2014
A light-weight real-time applicable hand gesture recognition system for automotive applications
T Kopinski, S Magand, A Gepperth, U Handmann
2015 IEEE Intelligent Vehicles Symposium (IV), 336-342, 2015
Gesture-based human-machine interaction for assistance systems
T Kopinski, S Geisler, U Handmann
2015 IEEE International Conference on Information and Automation, 510-517, 2015
A simple technique for improving multi-class classification with neural networks.
T Kopinski, A Gepperth, U Handmann
ESANN, 2015
Das hybride Büro: Gestaltungsansätze für New Work-Arbeitsumgebungen anhand eines Fallbeispiels
C Reindl, R Lanwehr, T Kopinski
Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte …, 2022
A time-of-flight-based hand posture database for human-machine interaction
T Kopinski, A Gepperth, U Handmann
2016 14th International Conference on Control, Automation, Robotics and …, 2016
Touchless interaction for future mobile applications
T Kopinski, U Handmann
2016 International Conference on Computing, Networking and Communications …, 2016
Time-of-flight based multi-sensor fusion strategies for hand gesture recognition
T Kopinski, D Malysiak, A Gepperth, U Handmann
2014 IEEE 15th International Symposium on Computational Intelligence and …, 2014
Multimodal space representation driven by self-evaluation of predictability
M Lefort, T Kopinski, A Gepperth
4th International Conference on Development and Learning and on Epigenetic …, 2014
A deep learning approach to mid-air gesture interaction for mobile devices from time-of-flight data
T Kopinski, F Sachara, U Handmann
Proceedings of the 13th International Conference on Mobile and Ubiquitous …, 2016
User expectations on touchless gestures in vehicles
P März, D Schwahlen, S Geisler, T Kopinski
Mensch und Computer 2016–Workshopband, 2016
Contactless Interaction for Automotive Applications.
T Kopinski, S Geisler, U Handmann
Mensch & Computer Workshopband, 87-94, 2013
A deep learning approach for hand posture recognition from depth data
T Kopinski, F Sachara, A Gepperth, U Handmann
Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016
A real-time applicable dynamic hand gesture recognition framework
T Kopinski, A Gepperth, U Handmann
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
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