Bibsonomy Plugin

  • Hofmann, T. and U. Schwerdtfeger, 2022: Edge-connectivity matrices and their spectra. Linear Algebra and its Applications 640: 34–47.
  • Munjal, R., S. Arif, F. Wendler and O. Kanoun, 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: 1312.
  • Meyer, S., S. Mandl, D. Gesmann-Nuissl and A. Strobel, 2022: Responsibility in Hybrid Societies: Concepts and Terms. AI and Ethics.
  • Krumm, D., A. Zenner, G. Sanseverino and S. Odenwald, 2022: Recognition of Basic Gesture Components using Body-Attached Bending Sensors. pp. 77–82 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, https://www.measuringbehavior.org/files/Draft-Proceedings-MB2022-Vol_2.pdf.
  • Krumm, D., J. Buder and S. Odenwald, 2022: Body-attached sensors for automatic detection of skating stroke events in speed skating. in: Engineering of Sport 14 Conference Proceedings.
  • Attig, C. and T. Franke, 2022: Why do people abandon activity trackers? The role of user diversity in discontinued use. International Journal of Human–Computer Interaction.
  • Hensch, A.-C., I. Kreißig, M. Beggiato and J.F. Krems, 2022: The Effect of eHMI Malfunctions on Younger and Elderly Pedestrians’ Trust and Acceptance of Automated Vehicle Communication Signals. Frontiers in Psychology 13: 866475.
  • Vecchiato, G., C. Ahlström and L.L. Chuang, 2022: Editorial: Cognitive Mechanisms for Safe Road Traffic Systems. Frontiers in Neuroergonomics 37: 897659.
  • Potts, D. and M. Schmischke, 2022: Learning multivariate functions with low-dimensional structures using polynomial bases. Journal of Computational and Applied Mathematics 403: 113821.
  • Potts, D. and M. Schmischke, 2022: Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires. Frontiers in Applied Mathematics and Statistics 8: 795250.
  • Mandl, S., M. Bretschneider, S. Meyer, D. Gesmann-Nuissl, F. Asbrock, B. Meyer and A. Strobel, 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.
  • Kretzschmar, F., A. Pichler and M. Beggiato, 2022: Detection of Discomfort in Autonomous Driving via Stochastic Approximation. Vol. 60, pp. 87–92 in: Advances in Transportation.
  • Felbel, K., A. Dettmann, H. Adelina and A.C. Bullinger, 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.
  • Hafsa, M., B.B. Atitallah, T. Ben Salah, N. Essoukri Ben Amara and O. Kanoun, 2022: Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms. pp. 123–125 in: 2021 International Workshop on Impedance Spectroscopy.
  • Hafsa, M., B. Ben Atitallah, T. Ben Salah, N. Essoukri Ben Amara and O. Kanoun, 2022: A Genetic Algorithm for Image Reconstruction in Electrical Impedance Tomography for Gesture Recognition. Technisches Messen 89: 310–327.
  • Göring, F., T. Hofmann and M. Streicher, 2022: Uniformly connected graphs. Journal of Graph Theory.
  • Ben Atitallah, B., Z. Hu, D. Bouchaala, M.A. Hussain, A. Ismail, N. Derbel and O. Kanoun, 2022: Hand Sign Recognition System Based on EIT Imaging and Robust CNN Classification. IEEE Sensors Journal 22: 1729–1737.
  • Bautista-Quijano, J. Roberto, K. Ghrairi, B. Ben Atitallah and O. Kanoun, 2022: Investigation and Implementation of Elastomer Filament Strain Sensors for Monitoring of Hand Gestures. pp. 97–98 in: 2021 International Workshop on Impedance Spectroscopy.
  • Breitkreutz, C., J. Brade, S. Winkler, A. Bendixen, P. Klimant and G. Jahn, 2022: Spatial Updating in Virtual Reality - Auditory and Visual Cues in a Cave Automatic Virtual Environment. pp. 719–727 in: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces.
  • Sanseverino, G., D. Krumm and S. Odenwald, 2022: A Framework for Virtual Evaluation of Body-Attached Sensor Networks. pp. 557–568 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.
  • Schuler, K., L. Quante, C. Schießl, M. Beggiato and G. Jahn, 2022: Communication between drivers in a road bottleneck scenario. Vol. 60, pp. 306–312 in: Advances in Transportation.
  • Chiossi, F., R. Welsch, S. Villa, L. Chuang and S. Mayer, 2022: Virtual Reality Adaptation using Electrodermal Activity to Support User Experience. Big Data and Cognitive Computing 6: 55.
  • Todorovikj, S., F. Kettner, D. Brand, M. Beggiato and M. Ragni, 2022: Predicting Individual Discomfort in Autonomous Driving. pp. 3103–3109 in: J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society, https://escholarship.org/uc/item/71n4f4cr.
  • Chiossi, F., S. Villa, M. Hauser, R. Welsch and L.L. Chuang, 2022: Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Bretschneider, M., S. Mandl, A. Strobel, F. Asbrock and B. Meyer, 2022: Social perception of embodied digital technologies—a closer look at bionics and social robotics. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO).
  • Sanseverino, G., D. Krumm, W. Kilian and S. Odenwald, 2022: Wearable Sensor Nodes for Automatic Detection of Hike Events and Parameters: A Pilot Study. in: Engineering of Sport 14 Conference Proceedings.
  • Liu, C., B. Ben Atitallah, R. Ramalingame, R. Barioul, A. Djemal, H. Hellara and O. Kanoun, 2022: A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Barioul, R., R. Madan Raju, S. Varghese and O. Kanoun, 2022: Random Walk Binary Grey Wolf Optimization for feature selection in sEMG based hand gesture recognition. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Hellara, H., A. Djemal, R. Barioul, R. Ramalingame, B. Ben Atitallah, E. Fricke and O. Kanoun, 2022: Classification of Dynamic Hand Gestures using Multi Sensors Combinations. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Djemal, A., H. Hellara, R. Barioul, B. Ben Atitallah, R. Ramalingame, E. Fricke and O. Kanoun, 2022: Real-Time Model for Dynamic Hand Gestures Classification based on Inertial Sensor. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Gäbert, C., A. Djemal, H. Hellara, B.B. Atitallah, R. Ramalingame, R. Barioul, D. Salzseiler, E. Fricke, O. Kanoun and U. Thomas, 2022: Gesture Based Symbiotic Robot Programming for Agile Production. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Felbel, K., A. Dettmann and A.C. Bullinger, 2022: Analysis of eye gaze given different automated driving styles in an urban environment. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Hensch, A.-C., M. Beggiato, S. Mandl, A. Strobel and J.F. Krems, 2022: The interplay of personality traits with drivers’ gap acceptance. Vol. 60, pp. 329–337 in: Advances in Transportation.
  • Hensch, A.-C., M. Beggiato and J.F. Krems, 2022: Should I wait or should I go? – Deciphering Implicit Communication Cues for Cooperative Interactions in Left-Turn Scenarios. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Winkler, S., N. Weidensager, J. Brade, S. Knopp, G. Jahn and P. Klimant, 2022: Use of an automated guided vehicle as a telepresence system with measurement support. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Uhlmann, T. and G. Brunnett, 2022: Dual-IMU-WIP: An easy-to-build Walk-in-Place System based on Inertial Measurement Units. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Feder, S., A. Bendixen and W. Einhäuser, 2022: A hybrid control strategy for capturing cognitive processes in virtual reality (VR) in a natural and efficient way. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Figalová, N., L.L. Chuang, J. Pichen, M. Baumann and O. Pollatos, 2022: Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload. Multimodal Technologies and Interaction 6: 73.
  • Fietzek, T., H. Ü. Dinkelbach and F.H. Hamker, 2022: ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Kutz, D.F., S. Fröhlich, J. Rudisch, K. Müller and C. Voelcker-Rehage, 2022: Finger Tapping as a Biomarker to Classify Cognitive Status in 80+-Year-Olds. Journal of Personalized Medicine 12: 286.
  • Albrecht, S., R. Tamboli, S. Taubert, M. Eibl, G.D. Rey and J. Schmied, 2022: Towards a Vowel Formant Based Quality Metric for Text-to-Speech Systems: Measuring Monophthong Naturalness. in: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Dettmann, A., F. Hartwich, P. Roßner, M. Beggiato, K. Felbel, J.F. Krems and A.C. Bullinger, 2021: Comfort or Not? Automated Driving Style and User Characteristics Causing Human Discomfort in Automated Driving. International Journal of Human–Computer Interaction 37: 331–339.
  • Atitallah, B.B., D. Rajendran, Z. Hu, R. Ramalingame, J.R. Bautista Quijano, R. da Veiga Torres, D. Bouchaala, N. Derbel and O. Kanoun, 2021: Piezo-Resistive Pressure and Strain Sensors for Biomedical and Tele-Manipulation Applications. Vol. 38, pp. 47–65 in: O. Kanoun & N. Derbel (Eds.), Advanced Sensors for Biomedical Applications. Smart Sensors, Measurement and Instrumentation, Cham: Springer.
  • Dommel, P., A. Pichler and M. Beggiato, 2021: Comparison of a Logistic and SVM Model to Detect Discomfort in Automated Driving. Vol. 1322, pp. 44–49 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.
  • Potts, D. and M. Schmischke, 2021: Approximation of high-dimensional periodic functions with Fourier-based methods. SIAM Journal on Numerical Analysis 59: 9.
  • Maith, O., A. Schwarz and F. Hamker, 2021: Optimal attention tuning in a neuro-computational model of the visual cortex–basal ganglia–prefrontal cortex loop. Neural Networks 142: 534–547.
  • Krabbes, P., M. Queck, A. Scherf, P. Ohler and O. Rehren, 2021: To err makes human - The influence of errors and speech parameters on perceived humanness of robots. in: .
  • Hielscher, R. and L. Lippert, 2021: Isometric Embeddings of Quotients of the Rotation Group Modulo Finite Symmetries. Journal of Multivariate Analysis 185: 104764.
  • Hellara, H., R. Barioul, S. Sahnoun, F. Ahmed and O. Kanoun, 2021: Comparative of Swarm Intelligence based Wrappers for sEMG Signals Feature Selection. pp. 829–834 in: 2021 18th IEEE SSD International Multi-Conference on Systems, Signals and Devices.
  • Al-Hammouri, S., R. Barioul, K. Lweesy, M. Ibbini and O. Kanoun, 2021: Six Sensors Bracelet for Force Myography based American Sign Language Recognition. pp. 835–839 in: 2021 18th International Multi-Conference on Systems, Signals & Devices.
  • Langer, A., C. Göpfert and M. Gaedke, 2021: CARDINAL: Contextualized Adaptive Research Data Description INterface Applying LinkedData. Vol. 12706 in: M. Brambilla, R. Chbeir, F. Frasincar & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science.
  • Drewes, J., S. Feder and W. Einhäuser, 2021: Gaze During Locomotion in Virtual Reality and the Real World. Frontiers in Neuroscience 15: 656913.
  • Potts, D. and M. Tasche, 2021: Continuous window functions for NFFT. Advances in Computational Mathematics 47: 53.
  • König, L.M., C. Attig, T. Franke and B. Renner, 2021: Barriers to and facilitators for using nutrition apps: a systematic review and conceptual framework. JMIR mHealth and uHealth 9: e20037.
  • Noura, M., Y. Wang, S. Heil and M. Gaedke, 2021: OntoSpect: IoT Ontology Inspection by Concept Extraction and Natural Language Generation. Vol. 12706 in: M. Brambilla, R. Chbeir, F. Frasincar & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science.
  • Siegert, V. and M. Gaedke, 2021: WTA: Towards a Web-based Testbed Architecture. Vol. 12706 in: M. Brambilla, R. Chbeir, F. Frasincar & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science.
  • Heil, S., M. Bakaev and M. Gaedke, 2021: Web User Interface as a Message: Power Law for Fraud Detection in Crowdsourced Labeling. Vol. 12706 in: M. Brambilla, R. Chbeir, F. Frasincar & I. Manolescu (Eds.), Web Engineering. Lecture Notes in Computer Science.
  • Ramalingame, R., R. Barioul, X. Li, G. Sanseverino, D. Krumm, S. Odenwald and O. Kanoun, 2021: Wearable Smart Band for American Sign Language Recognition with Polymer Carbon Nanocomposite based Pressure Sensors. IEEE Sensors Letters 5: 6001204.
  • Potts, D. and M. Schmischke, 2021: Interpretable Approximation of High-Dimensional Data. SIAM Journal on Mathematics of Data Science 3: 1301–1323.
  • Schmied, J., 2021: Popular digital knowledge dissemination platforms: Evaluating the pragmatic professional credibility from Wikipedia to Academia.edu and ResearchGate. Journal of Pragmatics 180: 187–202.
  • Atitallah, B.B., D. Rajendran, R. Ramalingame, J.R. Bautista Quijano and O. Kanoun, 2021: Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis. Smart Sensors, Measurement and Instrumentation33–45.
  • Siefkes, M., 2021: Virtuelle Ausstellungen aus multimodaler Perspektive. pp. 63–79 in: H. Carius & G. Fackler (Eds.), Exponat – Raum – Interaktion: Perspektiven für das Kuratieren digitaler Ausstellungen, Göttingen, Germany: Vandenhoeck & Ruprecht.
  • Felbel, K., A. Dettmann and A.C. Bullinger, 2021: Communication of intentions in automated driving – the importance of implicit cues and contextual information on freeway situations. Vol. 12791 in: H. Krömker (Ed.), HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science.
  • Potts, D. and M. Tasche, 2021: Uniform error estimates for nonequispaced fast Fourier transforms. Sampling Theory, Signal Processing, and Data Analysis 19: 17.
  • Rajendran, D., B. Ben Atitallah, R. Ramalingame, R. Quijano Jose and O. Kanoun, 2021: Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis. Vol. 38, pp. 33–45 in: O. Kanoun & N. Derbel (Eds.), Advanced Sensors for Biomedical Applications. Smart Sensors, Measurement and Instrumentation, Cham: Springer.
  • Hensch, A.-C., M. Beggiato and J.F. Krems, 2021: Predicting Lane Changes by Identifying Sequence Patterns of Implicit Communication Cues. Vol. 270 in: N. Stanton (Ed.), Advances in Human Aspects of Transportation. Lecture Notes in Networks and Systems.
  • Hensch, A.-C., M. Beggiato, M.X. Schömann and J.F. Krems, 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. Vol. 12791 in: H. Krömker (Ed.), HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science.
  • Rajendran, D., R. Ramalingame, S. Palaniyappan, G. Wagner and O. Kanoun, 2021: Flexible Ultra-Thin Nanocomposite Based Piezoresistive Pressure Sensors for Foot Pressure Distribution Measurement. Sensors 21: 6082.
  • Goelz, C., K. Mora, J. Rudisch, R. Gaidai, E. Reuter, B. Godde, C. Reinsberger, C. Voelcker-Rehage and S. Vieluf, 2021: Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns. Neural Networks 142: 363–374.
  • Hensch, A.-C., M. Beggiato and J.F. Krems, 2021: The Effects of eHMI Failures on Elderly Participants’ Assessment of Automated Vehicle Communication Signals. pp. 355–363 in: T. Ahram & R. Taiar (Eds.), Human Interaction, Emerging Technologies and Future Systems V.
  • Hensch, A.-C., M. Beggiato and J.F. Krems, 2021: Drive safely and comfortably – Gap Acceptance as a Basis for a user-centred Design of Driving Styles in Automated Vehicles. in: Proceedings of the 7th Humanist Conference, https://www.humanist-vce.eu/fileadmin/contributeurs/humanist/Rhodes2021/Hensch.pdf.
  • Gäbert, C., S. Kaden and U. Thomas, 2021: Generation of Human-like Arm Motions using Sampling-based Motion Planning. pp. 2534–2541 in: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems.
  • Albrecht, S., 2021: Current research on the linguistic features of Chinese English. World Englishes.
  • Novinac, S., A. Fallaha, S. Rashidib, F. Beuth and F. Hamker, 2021: A neuro-computational model of visual attention with multiple attentional control sets. Vision Research 189: 104–118.
  • Larisch, R., L. Gönner, M. Teichmann and F. Hamker, 2021: Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. PLoS Computational Biology 17: e1009566.
  • Bandi, C. and U. Thomas, 2021: Skeleton-based Action Recognition for Human-Robot Interaction using Self-Attention Mechanism. in: 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition.
  • Krumm, D., N. Kuske, M. Neubert, J. Buder, F. Hamker and S. Odenwald, 2021: Determining push-off forces in speed skating imitation drills. Sports Engineering volume 24: 25.
  • Teichmann, M., R. Larisch and F. Hamker, 2021: Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks 144: 210–228.
  • Langer, A., D.N.H. Vu and M. Gaedke, 2020: SolidRDP: Applying Solid Data Containers for Research Data Publishing. Vol. 12128, pp. 399–415 in: M. Bielikova, T. Mikkonen & C. Pautasso (Eds.), Web Engineering. ICWE 2020. Lecture Notes in Computer Science,.
  • Jahn, K. and A. Nissen, 2020: Towards Dual Processing of Social Robots: Differences in the Automatic and Reflective System. in: ICIS 2020 Proceedings, https://aisel.aisnet.org/icis2020/hci_artintel/hci_artintel/4.
  • Atitallah, B.B., M.B. Abbasi, R. Barioul, D. Bouchaala, N. Derbel and O. Kanoun, 2020: Simultaneous Pressure Sensors Monitoring System for Hand Gestures Recognition. in: 2020 IEEE Sensors.
  • Dommel, P. and A. Pichler, 2020: Convex Risk Measures based on Divergence.Pure and Applied Functional Analysis.
  • Pentzold, C., A. Kaun and C. Lohmeier, 2020: Imagining and instituting future media: Introduction to the special issue. Convergence: The International Journal of Research into New Media Technologies 26: 705–715.
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