Bibsonomy APA

  • Hielscher, R., & Lippert, L. (2023). Approximating the derivative of manifold-valued functions. Journal of Approximation Theory, 285. https://doi.org/10.1016/j.jat.2022.105832
  • Schmitz, I., & Einhäuser, W. (2023). Gaze estimation in videoconferencing settings. Computers in Human Behavior, 139, 107517. https://doi.org/10.1016/j.chb.2022.107517
  • Barioul, R., & Kanoun, O. (2023). k-Tournament Grasshopper Extreme Learner for FMG-Based Gesture Recognition. Sensors, 23(3). https://doi.org/10.3390/s23031096
  • Püschel, A., Kilian, W., & Odenwald, S. (2023). Heat on sight – Display thermal radiation in the peripheral field of view. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (pp. 1483-1494). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_129
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2023). Drivers’ gap acceptance during parking maneuvers as a basis for initiating driving actions in automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 92, 133-142. https://doi.org/10.1016/j.trf.2022.11.008
  • Albrecht, S., Tamboli, R., Taubert, S., Eibl, M., Rey, G. D., & Schmied, J. (2022). Towards a Vowel Formant Based Quality Metric for Text-to-Speech Systems: Measuring Monophthong Naturalness. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853712
  • Schwarz, S. A., & Thomas, U. (2022). Variable Impedance Control for Safety and Usability in Telemanipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/IROS47612.2022.9982118
  • Kretzschmar, F., Pichler, A., & Beggiato, M. (2022). Detection of Discomfort in Autonomous Driving via Stochastic Approximation. Advances in Transportation, 60, 87-92. https://doi.org/10.54941/ahfe1002437
  • Todorovikj, S., Kettner, F., Brand, D., Beggiato, M., & Ragni, M. (2022). Predicting Individual Discomfort in Autonomous Driving. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society (pp. 3103-3109). https://escholarship.org/uc/item/71n4f4cr
  • Hensch, A.-C., Beggiato, M., Mandl, S., Strobel, A., & Krems, J. F. (2022). The interplay of personality traits with drivers’ gap acceptance. Advances in Transportation, 60, 329-337. https://doi.org/10.54941/ahfe1002464
  • Kutz, D. F., Fröhlich, S., Rudisch, J., Müller, K., & Voelcker-Rehage, C. (2022). Finger Tapping as a Biomarker to Classify Cognitive Status in 80+-Year-Olds. Journal of Personalized Medicine, 12(2). https://doi.org/10.3390/jpm12020286
  • Figalová, N., Chuang, L. L., Pichen, J., Baumann, M., & Pollatos, O. (2022). Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload. Multimodal Technologies and Interaction, 6(9). https://doi.org/10.3390/mti6090073
  • Fietzek, T., Dinkelbach, H. Ü., & Hamker, F. H. (2022). ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853699
  • Meyer, S., Mandl, S., Gesmann-Nuissl, D., & Strobel, A. (2022). Responsibility in Hybrid Societies: Concepts and Terms. AI and Ethics. https://doi.org/10.1007/s43681-022-00184-2
  • Feder, S., Bendixen, A., & Einhäuser, W. (2022). A hybrid control strategy for capturing cognitive processes in virtual reality (VR) in a natural and efficient way. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853646
  • Chiossi, F., Villa, S., Hauser, M., Welsch, R., & Chuang, L. L. (2022). Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853690
  • Winkler, S., Weidensager, N., Brade, J., Knopp, S., Jahn, G., & Klimant, P. (2022). Use of an automated guided vehicle as a telepresence system with measurement support. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853678
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2022). Should I wait or should I go? – Deciphering Implicit Communication Cues for Cooperative Interactions in Left-Turn Scenarios. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853676
  • Uhlmann, T., & Brunnett, G. (2022). Dual-IMU-WIP: An easy-to-build Walk-in-Place System based on Inertial Measurement Units. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853693
  • Felbel, K., Dettmann, A., & Bullinger, A. C. (2022). Analysis of eye gaze given different automated driving styles in an urban environment. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853647
  • Schuler, K., Quante, L., Schießl, C., Beggiato, M., & Jahn, G. (2022). Communication between drivers in a road bottleneck scenario. Advances in Transportation, 60, 306-312. https://doi.org/10.54941/ahfe1002461 
  • Chiossi, F., Welsch, R., Villa, S., Chuang, L., & Mayer, S. (2022). Virtual Reality Adaptation using Electrodermal Activity to Support User Experience. Big Data and Cognitive Computing, 6(2). https://doi.org/10.3390/bdcc6020055
  • Krumm, D., Zenner, A., Sanseverino, G., & Odenwald, S. (2022). Recognition of Basic Gesture Components using Body-Attached Bending Sensors. In A. Spink, J. Barski, A.-M. Brouwer, G. Riedel, & A. Sil (Eds.), Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and the 6th Seminar on Behavioral Methods (pp. 77-82). https://www.measuringbehavior.org/files/Draft-Proceedings-MB2022-Vol_2.pdf
  • Munjal, R., Arif, S., Wendler, F., & Kanoun, O. (2022). Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins. Sensors, 4(22). https://doi.org/10.3390/s22041312
  • Ben Atitallah, B., Hu, Z., Bouchaala, D., Hussain, M. A., Ismail, A., Derbel, N., & Kanoun, O. (2022). Hand Sign Recognition System Based on EIT Imaging and Robust CNN Classification. IEEE Sensors Journal, 22(22). https://doi.org/10.1109/JSEN.2021.3130982
  • Göring, F., Hofmann, T., & Streicher, M. (2022). Uniformly connected graphs. Journal of Graph Theory. https://doi.org/10.1002/jgt.22820
  • Hafsa, M., Ben Atitallah, B., Ben Salah, T., Essoukri Ben Amara, N., & Kanoun, O. (2022). A Genetic Algorithm for Image Reconstruction in Electrical Impedance Tomography for Gesture Recognition. Technisches Messen, 89(5). https://doi.org/10.1515/teme-2021-0126
  • Hafsa, M., Atitallah, B. B., Ben Salah, T., Essoukri Ben Amara, N., & Kanoun, O. (2022). Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms. 2021 International Workshop on Impedance Spectroscopy, 123-125. https://doi.org/10.1109/IWIS54661.2021.9711814
  • Hofmann, T., & Schwerdtfeger, U. (2022). Edge-connectivity matrices and their spectra. Linear Algebra and Its Applications, 640, 34-47. https://doi.org/10.1016/j.laa.2022.01.012
  • Mandl, S., Bretschneider, M., Meyer, S., Gesmann-Nuissl, D., Asbrock, F., Meyer, B., & Strobel, A. (2022). Embodied Digital Technologies: First Insights in the Social and Legal Perception of Robots and Users of Prostheses. Frontiers in Robotics and AI, 9, 787970. https://doi.org/10.3389/frobt.2022.787970
  • Potts, D., & Schmischke, M. (2022). Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires. Frontiers in Applied Mathematics and Statistics, 8, 795250. https://doi.org/10.3389/fams.2022.795250
  • Krumm, D., Buder, J., & Odenwald, S. (2022). Body-attached sensors for automatic detection of skating stroke events in speed skating. Engineering of Sport 14 Conference Proceedings. https://doi.org/10.5703/1288284317497
  • Potts, D., & Schmischke, M. (2022). Learning multivariate functions with low-dimensional structures using polynomial bases. Journal of Computational and Applied Mathematics, 403, 113821. https://doi.org/10.1016/j.cam.2021.113821
  • Vecchiato, G., Ahlström, C., & Chuang, L. L. (2022). Editorial: Cognitive Mechanisms for Safe Road Traffic Systems. Frontiers in Neuroergonomics, 37, 897659. https://doi.org/10.3389/fnrgo.2022.897659
  • Sanseverino, G., Krumm, D., & Odenwald, S. (2022). A Framework for Virtual Evaluation of Body-Attached Sensor Networks. In C. Rizzi, F. Campana, M. Bici, F. Gherardini, T. Ingrassia, & P. Cicconi (Eds.), Design Tools and Methods in Industrial Engineering II. ADM 2021. Lecture Notes in Mechanical Engineering. (pp. 557-568). Cham: Springer. https://doi.org/10.1007/978-3-030-91234-5_56
  • Hensch, A.-C., Kreißig, I., Beggiato, M., & Krems, J. F. (2022). The Effect of eHMI Malfunctions on Younger and Elderly Pedestrians’ Trust and Acceptance of Automated Vehicle Communication Signals. Frontiers in Psychology, 13, 866475. https://doi.org/10.3389/fpsyg.2022.866475
  • Djemal, A., Hellara, H., Barioul, R., Ben Atitallah, B., Ramalingame, R., Fricke, E., & Kanoun, O. (2022). Real-Time Model for Dynamic Hand Gestures Classification based on Inertial Sensor. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853648
  • Attig, C., & Franke, T. (2022). Why do people abandon activity trackers? The role of user diversity in discontinued use. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2022.2067935
  • Breitkreutz, C., Brade, J., Winkler, S., Bendixen, A., Klimant, P., & Jahn, G. (2022). Spatial Updating in Virtual Reality - Auditory and Visual Cues in a Cave Automatic Virtual Environment. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces, 719-727. https://doi.org/10.1109/VR51125.2022.00093
  • Gäbert, C., Djemal, A., Hellara, H., Atitallah, B. B., Ramalingame, R., Barioul, R., Salzseiler, D., Fricke, E., Kanoun, O., & Thomas, U. (2022). Gesture Based Symbiotic Robot Programming for Agile Production. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853686
  • Hellara, H., Djemal, A., Barioul, R., Ramalingame, R., Ben Atitallah, B., Fricke, E., & Kanoun, O. (2022). Classification of Dynamic Hand Gestures using Multi Sensors Combinations. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853694
  • Fricke, E. (2022). The Pragmatics of Gesture and Space. In A. H. Jucker & H. Hausendorf (Eds.), Pragmatics of Space. Handbook of Pragmatics (Vols. 14, pp. 363-397). Berlin, Germany: De Gruyter Mouton. https://doi.org/10.1515/9783110693713-012
  • Hellara, H., Barioul, R., Choura, A., Sahnoun, S., Fakhfakh, A., Bouchaala, D., Deriche, M., & Kanoun, O. (2022). sEMG Features Selection by a Chaotic Salp Swarm Algorithm for Hand Gestures Classification. 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD). https://doi.org/10.1109/SSD54932.2022.9955800
  • Brade, J., Winkler, S., Beisig, L. S., Flucke, J., Jasniewcz, L., Laaser, J., Seehars, A., Lorenz, M., Jahn, G., & Klimant, P. (2022). How Far is It? Distance Estimation and Reproduction Through a Double 3 Telepresence Robot. 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00151
  • Taubert, S., Sternkopf, J., Kahl, S., & Eibl, M. (2022). A Comparison of Text Selection Algorithms for Sequence-to-Sequence Neural TTS. 2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). https://doi.org/10.1109/ICSPCC55723.2022.9984283
  • Bartel, F., Potts, D., & Schmischke, M. (2022). Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation. SIAM Journal on Scientific Computing, 44(3). https://doi.org/10.1137/20M1374547
  • Jahn, K., Oschinsky, F., Kordyaka, B., Machulska, A., Eiler, T. J., Gruenewald, A., Klucken, T., Brueck, R., Gethmann, C. F., & Niehaves, B. (2022). Design elements in immersive virtual reality: The impact of object presence on health-related outcomes. Internet Research, 32(7). https://doi.org/10.1108/INTR-12-2020-0712
  • Kanoun, O., Bouhamed, A., Nasraoui, S., Al-Hamry, A., Brahem, A., Lakshmanan, A., & Ramalingame, R. (2022). Potential of flexible and highly sensitive sensors based on polymer-carbon-nanomaterials composites: Towards a new generation of sensors. Tm - Technisches Messen, 89(12). https://doi.org/10.1515/teme-2022-0071
  • Farahani, A., Vitay, J., & Hamker, F. H. (2022). Deep Neural Networks for Geometric Shape Deformation. In R. Bergmann, L. Malburg, S. C. Rodermund, & I. J. Timm (Eds.), KI 2022: Advances in Artificial Intelligence. Lecture Notes in Computer Science (Vols. 13404, pp. 90-95). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15791-2_9
  • Pichler, A., & Schlotter, R. (2022). Risk-Averse Optimal Control in Continuous Time by Nesting Risk Measures. Mathematics of Operation Research. https://doi.org/10.1287/moor.2022.1314
  • Gesmann-Nuissl, D., & Meyer, S. (2022). Siri 2.0—Conversational Commerce of Social Bots and the New Law of Obligations of Data: Explorations for the Benefit of Consumer Protection. Robotics, 11(6). https://doi.org/10.3390/robotics11060125
  • Meyer, S., Albrecht, S., Eibl, M., Rey, G. D., Schmied, J., Tamboli, R., Taubert, S., & Gesmann-Nuissl, D. (2022). Untying the Gordian Knot: Legally Compliant Sound Data Collection and Processing for TTS Systems in China. In S. Schiffner, S. Ziegler, & A. Quesada Rodriguez (Eds.), Privacy Symposium 2022. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-09901-4_6
  • Gäbert, C., & Thomas, U. (2022). Learning-based Adaptive Sampling for Manipulator Motion Planning. IEEE International Conference on Automation Science and Engineering (CASE), 715-721. https://doi.org/10.1109/CASE49997.2022.9926609
  • Barioul, R., Madan Raju, R., Varghese, S., & Kanoun, O. (2022). Random Walk Binary Grey Wolf Optimization for feature selection in sEMG based hand gesture recognition. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853687
  • Pentzold, C., & Rothe, I. (2022). Drawn into the future: The epistemic work of visual scenarios in the configuration of humen-robot encounters. Visual Communication. https://doi.org/10.1177/14703572221112676
  • Rothe, I. (2022). Die Transkription folgt den Daten. Multikonventionelles Transkribieren. In C. Schwarze & S. Grawunder (Eds.), Transkription und Annotation gesprochener Sprache und multimodaler Interaktion: Konzepte, Probleme, Lösungen (pp. 132-162). Tübingen, Germany: Narr Francke Attempto. https://elibrary.narr.digital/book/10.24053/9783823394693
  • Bautista-Quijano, Roberto, J., Ghrairi, K., Ben Atitallah, B., & Kanoun, O. (2022). Investigation and Implementation of Elastomer Filament Strain Sensors for Monitoring of Hand Gestures. 2021 International Workshop on Impedance Spectroscopy, 97-98. https://doi.org/10.1109/IWIS54661.2021.9711913
  • Mandl, S., Bretschneider, M., Asbrock, F., Meyer, B., & Strobel, A. (2022). The Social Perception of Robots Scale (SPRS): Developing and Testing a Scale for Successful Interaction Between Humans and Robots. In L. M. Camarinha-Matos, A. Ortiz, X. Boucher, & A. L. Osório (Eds.), Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2022. IFIP Advances in Information and Communication Technology (Vols. 662, pp. 321-334). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-14844-6_26
  • Felbel, K., Dettmann, A., Adelina, H., & Bullinger, A. C. (2022). Manoeuvre design in automated driving: Investigation of on-ramp situations under the variation of safety distances and traffic flow. In D. de Waard, S. H. Fairclough, K. A. Brookhuis, D. Manzey, L. Onnasch, A. Naumann, R. Wiczorek, F. Di Nocera, S. Röttger, & A. Toffetti (Eds.), Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2022 Annual Conference. https://www.hfes-europe.org/wp-content/uploads/2022/05/Felbel2022.pdf
  • Liu, C., Ben Atitallah, B., Ramalingame, R., Barioul, R., Djemal, A., Hellara, H., & Kanoun, O. (2022). A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853644
  • Sanseverino, G., Krumm, D., Kopnarski, L., Rudisch, J., Voelcker-Rehage, C., & Odenwald, S. (2022). Preliminary Validation of a Virtual Environment for Simulation and Recognition of Human Gestures. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (pp. 605-613). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_53
  • Caporaso, T., Sanseverino, G., Krumm, D., Grazioso, S., D’Angelo, R., Di Gironimo, G., Odenwald, S., & Lanzotti, A. (2022). Automatic Outcomes in Minnesota Dexterity Test Using a System of Multiple Depth Cameras. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (pp. 286-293). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_25
  • Rossner, P., Felbel, K., Dettmann, A., & Bullinger, A. C. (2022). Do you want me to shift lanes? – Investigating automated driving strategies in urban areas. In V. W. GmbH (Ed.), Fahrerassistenzsysteme und automatisiertes Fahren. VDI-Berichte (Vols. 2394, pp. 143-158). Düsseldorf, Germany: VDI Verlag. https://doi.org/10.51202/9783181023945-143
  • Sanseverino, G., Krumm, D., Kilian, W., & Odenwald, S. (2022). Wearable Sensor Nodes for Automatic Detection of Hike Events and Parameters: A Pilot Study. Engineering of Sport 14 Conference Proceedings. https://doi.org/10.5703/1288284317538
  • Bretschneider, M., Mandl, S., Strobel, A., Asbrock, F., & Meyer, B. (2022). Social perception of embodied digital technologies—a closer look at bionics and social robotics. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO). https://doi.org/10.1007/s11612-022-00644-7
  • Ernst, O., Pichler, A., & Sprungk, B. (2022). Wasserstein Sensitivity of Risk and Uncertainty Propagation. SIAM Journal on Uncertainty Quantification, 10(3). https://doi.org/10.1137/20M1325459
  • Bakaev, M., Speicher, M., Jagow, J., Heil, S., & Gaedke, M. (2022). We Don’t Need No Real Users?! Surveying the Adoption of User-less Automation Tools by UI Design Practitioners. In T. Di Noia, I.-Y. Ko, M. Schedl, & C. Ardito (Eds.), Web Engineering (Vols. 13362, pp. 406-414). Cham: Springer. https://doi.org/10.1007/978-3-031-09917-5_28
  • Bakaev, M., Heil, S., Chirkov, L., & Gaedke, M. (2022). Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces. In H. Degen & S. Ntoa (Eds.), Artificial Intelligence in HCI (Vols. 13336, pp. 217-231). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-05643-7_14
  • Novin, S., Fallaha, A., Rashidib, S., Beuth, F., & Hamker, F. (2021). A neuro-computational model of visual attention with multiple attentional control sets. Vision Research, 189, 104-118. https://doi.org/10.1016/j.visres.2021.08.009
  • Hellara, H., Barioul, R., Sahnoun, S., Ahmed, F., & Kanoun, O. (2021). Comparative of Swarm Intelligence based Wrappers for sEMG Signals Feature Selection. 2021 18th IEEE SSD International Multi-Conference on Systems, Signals and Devices, 829-834. https://doi.org/10.1109/SSD52085.2021.9429511
  • Larisch, R., Gönner, L., Teichmann, M., & Hamker, F. (2021). Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. PLoS Computational Biology, 17(11). https://doi.org/10.1371/journal.pcbi.1009566
  • Potts, D., & Schmischke, M. (2021). Interpretable Approximation of High-Dimensional Data. SIAM Journal on Mathematics of Data Science, 3(4). https://doi.org/10.1137/21M1407707
  • Potts, D., & Tasche, M. (2021). Continuous window functions for NFFT. Advances in Computational Mathematics, 47, 53. https://doi.org/10.1007/s10444-021-09873-8
  • Potts, D., & Schmischke, M. (2021). Approximation of high-dimensional periodic functions with Fourier-based methods. SIAM Journal on Numerical Analysis, 59, 9. https://doi.org/10.1137/20M1354921
  • Bandi, C., & Thomas, U. (2021). Skeleton-based Action Recognition for Human-Robot Interaction using Self-Attention Mechanism. 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition. https://doi.org/10.1109/FG52635.2021.9666948
  • Krumm, D., Kuske, N., Neubert, M., Buder, J., Hamker, F., & Odenwald, S. (2021). Determining push-off forces in speed skating imitation drills. Sports Engineering Volume, 24, 25. https://doi.org/10.1007/s12283-021-00362-1
  • Teichmann, M., Larisch, R., & Hamker, F. (2021). Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks, 144, 210-228. https://doi.org/10.1016/j.neunet.2021.08.009
  • Maith, O., Schwarz, A., & Hamker, F. (2021). Optimal attention tuning in a neuro-computational model of the visual cortex–basal ganglia–prefrontal cortex loop. Neural Networks, 142, 534-547. https://doi.org/10.1016/j.neunet.2021.07.008
  • Rajendran, D., Ramalingame, R., Palaniyappan, S., Wagner, G., & Kanoun, O. (2021). Flexible Ultra-Thin Nanocomposite Based Piezoresistive Pressure Sensors for Foot Pressure Distribution Measurement. Sensors, 21(18). https://doi.org/10.3390/s21186082
  • Atitallah, B. B., Rajendran, D., Ramalingame, R., Bautista Quijano, J. R., & Kanoun, O. (2021). Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis. Smart Sensors, Measurement and Instrumentation, 33-45. https://doi.org/10.3390/s21186082
  • Krabbes, P., Queck, M., Scherf, A., Ohler, P., & Rehren, O. (2021). To err makes human - The influence of errors and speech parameters on perceived humanness of robots. https://doi.org/10.18154/RWTH-CONV-245978
  • Hielscher, R., & Lippert, L. (2021). Isometric Embeddings of Quotients of the Rotation Group Modulo Finite Symmetries. Journal of Multivariate Analysis, 185, 104764. https://doi.org/10.48550/arXiv.2007.09664
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