Forschung

Die Koordination unserer Bewegungen in Abstimmung mit unseren Mitmenschen gelingt relativ reibungslos. Damit die Interaktionen in hybriden Gesellschaften effektiv sind und ähnlich reibungslos ablaufen, müssen menschliche Fähigkeiten und das technologisch Machbare analysiert und in neuartiger Weise aufeinander abgestimmt werden. Die Erforschung hybrider Gesellschaften trägt also dazu bei, den Einsatz verkörperter digitaler Technologien in öffentlichen Räumen nach menschlichen Bedürfnissen und Fertigkeiten auszurichten und die dazu nötigen technologischen Innovationen voranzubringen.

Forschungsprojekte

Um die bisher ungelösten Herausforderungen anzugehen und das Miteinander von Menschen und Maschinen in öffentlichen Räumen zu gestalten, ist es notwendig, dass eine Vielzahl an Disziplinen, von Psychologie und Ingenieurwissenschaften über Mathematik und Informatik bis zu den Sozial- und Geisteswissenschaften ihre Stärken zusammenführen. Am Sonderforschungsbereich Hybrid Societies arbeiten Forschende aller acht Fakultäten an der TU Chemnitz zusammen. (Wenn Sie auf die Disziplin in der Grafik klicken, gelangen Sie zu den beteiligten Teilprojekten).

Forschungsbereiche

Sensomotorik
Künstliche Körper
Geteilte Umwelten
Intentionalität
Übergreifende Projekte

Sensomotorik

In diesem Forschungsfeld sind alle Projekte versammelt, die das Wahrnehmen, Vorhersagen und die Bewegungsausführung im Koordinieren und Interagieren mit verkörperten digitalen Technologien erforschen.

Künstliche Körper

Dieses Forschungsfeld umfasst alle Vorhaben, die sich damit beschäftigen, welche Fähigkeiten den verkörperten digitalen Technologien aufgrund ihrer Erscheinung und ihres Verhaltens zugeschrieben werden. Hier geht es darum, inwiefern Prothesen oder virtuelle Agenten als Ersatz oder als Erweiterung des eigenen Körpers erfahren werden.

Geteilte Umwelten

Hier kommen alle Projekte zusammen, die sich für die gemeinsame Aufmerksamkeitsausrichtung, die räumliche Orientierung und das koordinierte Verhalten von Menschen und intelligenten Maschinen interessieren.

Intentionalität

Das Forschungsfeld vereint die Vorhaben, welche die Zuschreibung und die Kommunikation von situationsspezifischen Absichten zwischen Menschen und verkörperten digitalen Technologien untersuchen.

Übergreifende Projekte

Übergreifende Projekte beschäftigen sich sowohl mit Forschungsfragen als auch mit organisatorischen Aufgaben, die alle Forschungsbereiche des Verbunds gleichermaßen betreffen..

Forschungsdisziplinen

Publikationen

Alle Ergebnisse unserer Forschung zur Interaktion von Menschen mit verkörperten digitalen Technologien in hybriden Gesellschaften finden Sie in unseren Publikationen. Sie können diese filtern nach Erscheinungsjahr, Disziplin, Teilprojekt und Publikationsform, damit Sie genau das finden, was Sie suchen.

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    A: Verkörperte Sensor- und Motorleistungen
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    D: Intentionalität in hybriden Gesellschaften
    E: Übergreifende Projekte
    Research Projects
    Öffentlichkeitsarbeit Hybrid Societies
    Informations-Infrastruktur-Umgebung Hybrid Societies
    Verantwortung in Hybriden Gesellschaften
    Informationsgewinnung aus hochdimensionalen Daten
    Displays sozialer Zurechenbarkeit
    Glaubwürdige pädagogische Konversationsagenten
    Implizite Fahrsignale
    Menschenähnliche Bewegungsabläufe
    Räumliche Orientierung
    Blickinteraktion
    Stereotypisierung bionischer Körperrestauration
    Avatare: Haltungen und Gangarten
    (De-)Anthropomorphisierung
    En-passant-Evaluation der Systemlatenz
    Am Körper getragene Sensornetzwerke
    Das Erlernen flexibler motorischer Kontrolle
    Handlungswahrnehmung in gemeinsamen Handlungen
    Zentrales Verwaltungsprojekt
    Graduiertenkolleg
    Intentionalität in multimodaler Interaktion
    Telemanipulation
    Research Disciplines
    Bewegungswissenschaften
    Elektrotechnik
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    Medienpsychologie
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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
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
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
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: Springer. https://doi.org/10.1007/978-3-031-05643-7_14
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
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
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). https://doi.org/10.1109/JSEN.2021.3130982
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
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
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). Chem, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_25
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
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
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
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
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
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
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
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
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
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
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
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
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
Göring, F., Hofmann, T., & Streicher, M. (2022). Uniformly connected graphs. Journal of Graph Theory. https://doi.org/10.1002/jgt.22820
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 
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
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
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
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
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
Albrecht, S. (2021). Current research on the linguistic features of Chinese English. World Englishes. https://doi.org/10.1111/weng.12572
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
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
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
Beggiato, M., Rauh, N., & Krems, J. (2021). Multi-camera Face Tracking for Estimating User’s Discomfort with Automated Vehicle Operations. In W. Karwowski, T. Ahram, M. Milicevic, D. Etinger, & K. Zubrinic (Eds.), Human Systems Engineering and Design (IHSED2021): Future Trends and Applications. AHFE (2021) International Conference (Vols. 21). AHFE International. https://doi.org/10.54941/ahfe1001104
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). https://doi.org/10.1080/10447318.2020.1860518
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
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
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