Bibsonomy APA

  • 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
  • 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), 1312. https://doi.org/10.3390/s22041312
  • 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
  • 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. https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-2820
  • 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
  • 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
  • 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), 1729-1737. 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), 310-327. https://doi.org/10.1515/teme-2021-0126
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Dommel, P., Pichler, A., & Beggiato, M. (2021). Comparison of a Logistic and SVM Model to Detect Discomfort in Automated Driving. In D. Russo, T. Ahram, W. Karwowski, G. Di Bucchianico, & R. Taiar (Eds.), Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing (Vols. 1322, pp. 44-49). Cham: Springer. https://doi.org/10.1007/978-3-030-68017-6_7
  • Langer, A., Göpfert, C., & Gaedke, M. (2021). CARDINAL: Contextualized Adaptive Research Data Description INterface Applying LinkedData. In M. Brambilla, R. Chbeir, F. Frasincar, & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science (Vols. 12706). Cham: Springer. https://doi.org/10.1007/978-3-030-74296-6_2
  • 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
  • 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
  • Atitallah, B. B., Rajendran, D., Hu, Z., Ramalingame, R., Bautista Quijano, J. R., da Veiga Torres, R., Bouchaala, D., Derbel, N., & Kanoun, O. (2021). Piezo-Resistive Pressure and Strain Sensors for Biomedical and Tele-Manipulation Applications. In O. Kanoun & N. Derbel (Eds.), Advanced Sensors for Biomedical Applications. Smart Sensors, Measurement and Instrumentation (Vols. 38, pp. 47-65). Cham: Springer. https://doi.org/10.1007/978-3-030-71225-9_3
  • Al-Hammouri, S., Barioul, R., Lweesy, K., Ibbini, M., & Kanoun, O. (2021). Six Sensors Bracelet for Force Myography based American Sign Language Recognition. 2021 18th International Multi-Conference on Systems, Signals & Devices, 835-839. https://doi.org/10.1109/SSD52085.2021.9429399
  • König, L. M., Attig, C., Franke, T., & Renner, B. (2021). Barriers to and facilitators for using nutrition apps: a systematic review and conceptual framework. JMIR MHealth and UHealth, 9(6), e20037. https://doi.org/10.2196/20037
  • Noura, M., Wang, Y., Heil, S., & Gaedke, M. (2021). OntoSpect: IoT Ontology Inspection by Concept Extraction and Natural Language Generation. In M. Brambilla, R. Chbeir, F. Frasincar, & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science (Vols. 12706). Cham: Springer. https://doi.org/10.1007/978-3-030-74296-6_4
  • Siegert, V., & Gaedke, M. (2021). WTA: Towards a Web-based Testbed Architecture. In M. Brambilla, R. Chbeir, F. Frasincar, & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science (Vols. 12706). Cham: Springer. https://doi.org/10.1007/978-3-030-74296-6_9
  • Dettmann, A., Hartwich, F., Roßner, P., Beggiato, M., Felbel, K., Krems, J. F., & Bullinger, A. C. (2021). Comfort or Not? Automated Driving Style and User Characteristics Causing Human Discomfort in Automated Driving. International Journal of Human–Computer Interaction, 37(4), 331-339. https://doi.org/10.1080/10447318.2020.1860518
  • Heil, S., Bakaev, M., & Gaedke, M. (2021). Web User Interface as a Message: Power Law for Fraud Detection in Crowdsourced Labeling. In M. Brambilla, R. Chbeir, F. Frasincar, & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science (Vols. 12706). Cham: Springer. https://doi.org/10.1007/978-3-030-74296-6_7
  • Ramalingame, R., Barioul, R., Li, X., Sanseverino, G., Krumm, D., Odenwald, S., & Kanoun, O. (2021). Wearable Smart Band for American Sign Language Recognition with Polymer Carbon Nanocomposite based Pressure Sensors. IEEE Sensors Letters, 5(6), 6001204. https://doi.org/10.1109/LSENS.2021.3081689
  • 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
  • Drewes, J., Feder, S., & Einhäuser, W. (2021). Gaze During Locomotion in Virtual Reality and the Real World. Frontiers in Neuroscience, 15, 656913. https://doi.org/10.3389/fnins.2021.656913
  • 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
  • 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
  • Potts, D., & Schmischke, M. (2021). Interpretable Approximation of High-Dimensional Data. SIAM Journal on Mathematics of Data Science, 3(4), 1301-1323. https://doi.org/10.1137/21M1407707
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2021). Drive safely and comfortably – Gap Acceptance as a Basis for a user-centred Design of Driving Styles in Automated Vehicles. Proceedings of the 7th Humanist Conference. https://www.humanist-vce.eu/fileadmin/contributeurs/humanist/Rhodes2021/Hensch.pdf
  • Rajendran, D., Ben Atitallah, B., Ramalingame, R., Quijano Jose, R., & Kanoun, O. (2021). Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis. In O. Kanoun & N. Derbel (Eds.), Advanced Sensors for Biomedical Applications. Smart Sensors, Measurement and Instrumentation (Vols. 38, pp. 33-45). Cham: Springer. https://www.springerprofessional.de/ultra-thin-nanocomposite-in-sole-pressure-sensor-matrix-for-gait/19252490
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2021). Predicting Lane Changes by Identifying Sequence Patterns of Implicit Communication Cues. In N. Stanton (Ed.), Advances in Human Aspects of Transportation. Lecture Notes in Networks and Systems (Vols. 270). Cham: Springer. https://doi.org/10.1007/978-3-030-80012-3_1
  • Hensch, A.-C., Beggiato, M., Schömann, M. X., & Krems, J. F. (2021). Different Types, Different Speeds – The Effect of Interaction Partners and Encountering Speeds at Intersections on Drivers’ Gap Acceptance as an Implicit Communication Signal in Automated Driving. In H. Krömker (Ed.), HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science (Vols. 12791). Cham: Springer. https://doi.org/10.1007/978-3-030-78358-7_36
  • Goelz, C., Mora, K., Rudisch, J., Gaidai, R., Reuter, E., Godde, B., Reinsberger, C., Voelcker-Rehage, C., & Vieluf, S. (2021). Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns. Neural Networks, 142, 363-374. https://doi.org/10.1016/j.neunet.2021.04.029
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2021). The Effects of eHMI Failures on Elderly Participants’ Assessment of Automated Vehicle Communication Signals. In T. Ahram & R. Taiar (Eds.), Human Interaction, Emerging Technologies and Future Systems V (pp. 355-363). Cham: Springer. https://doi.org/10.1007/978-3-030-85540-6_45
  • 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
  • Gäbert, C., Kaden, S., & Thomas, U. (2021). Generation of Human-like Arm Motions using Sampling-based Motion Planning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2534-2541. https://doi.org/10.1109/IROS51168.2021.9636068
  • Potts, D., & Tasche, M. (2021). Uniform error estimates for nonequispaced fast Fourier transforms. Sampling Theory, Signal Processing, and Data Analysis, 19, 17. https://doi.org/10.1007/s43670-021-00017-z
  • Albrecht, S. (2021). Current research on the linguistic features of Chinese English. World Englishes. https://doi.org/10.1111/weng.12572
  • Novinac, 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
  • 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), e1009566. https://doi.org/10.1371/journal.pcbi.1009566
  • 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
  • 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), 6082. 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
  • Langer, A., Vu, D. N. H., & Gaedke, M. (2020). SolidRDP: Applying Solid Data Containers for Research Data Publishing. In M. Bielikova, T. Mikkonen, & C. Pautasso (Eds.), Web Engineering. ICWE 2020. Lecture Notes in Computer Science, (Vols. 12128, pp. 399-415). Cham: Springer. https://doi.org/10.1007/978-3-030-50578-3_27
  • Jahn, K., & Nissen, A. (2020). Towards Dual Processing of Social Robots: Differences in the Automatic and Reflective System. ICIS 2020 Proceedings. https://aisel.aisnet.org/icis2020/hci_artintel/hci_artintel/4
  • Atitallah, B. B., Abbasi, M. B., Barioul, R., Bouchaala, D., Derbel, N., & Kanoun, O. (2020). Simultaneous Pressure Sensors Monitoring System for Hand Gestures Recognition. 2020 IEEE Sensors. https://doi.org/10.1109/SENSORS47125.2020.9278884
  • Dommel, P., & Pichler, A. (2020). Convex Risk Measures based on Divergence. In Pure and Applied Functional Analysis. https://doi.org/10.48550/arXiv.2003.07648
  • Pentzold, C., Kaun, A., & Lohmeier, C. (2020). Imagining and instituting future media: Introduction to the special issue. Convergence: The International Journal of Research into New Media Technologies, 26(4), 705-715. https://doi.org/10.1177/1354856520938584
  • Langer, A., Göpfert, C., & Gaedke, M. (2020). Querying the Semantic Web for Concept Identifiers to Annotate Research Datasets. In T. vor der Brück (Ed.), Proceedings of the Fourteenth International Conference on Advances in Semantic Processing (pp. 49-55). ThinkMind. https://www.thinkmind.org/index.php?view=article&articleid=semapro_2020_2_50_30022