[{"publication_identifier":{"isbn":["978-2-912985-01-9"]},"page":"1252–1259","intvolume":"         3","citation":{"ama":"Gerritzen J, Hornig A, Winkler P, Gude M. Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. In: <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>. Vol 3. European Society for Composite Materials (ESCM); 2024:1252–1259. doi:<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>","apa":"Gerritzen, J., Hornig, A., Winkler, P., &#38; Gude, M. (2024). Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, <i>3</i>, 1252–1259. <a href=\"https://doi.org/10.60691/yj56-np80\">https://doi.org/10.60691/yj56-np80</a>","short":"J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of the 21st European Conference on Composite Materials, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259.","bibtex":"@inproceedings{Gerritzen_Hornig_Winkler_Gude_2024, title={Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning}, volume={3}, DOI={<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>}, booktitle={ECCM21 - Proceedings of the 21st European Conference on Composite Materials}, publisher={European Society for Composite Materials (ESCM)}, author={Gerritzen, Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}, year={2024}, pages={1252–1259} }","mla":"Gerritzen, Johannes, et al. “Direct Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive Models Using Machine Learning.” <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, vol. 3, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259, doi:<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>.","ieee":"J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning,” in <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, 2024, vol. 3, pp. 1252–1259, doi: <a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>.","chicago":"Gerritzen, Johannes, Andreas Hornig, Peter Winkler, and Maik Gude. “Direct Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive Models Using Machine Learning.” In <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, 3:1252–1259. European Society for Composite Materials (ESCM), 2024. <a href=\"https://doi.org/10.60691/yj56-np80\">https://doi.org/10.60691/yj56-np80</a>."},"year":"2024","volume":3,"date_created":"2025-11-04T12:47:06Z","author":[{"last_name":"Gerritzen","orcid":"0000-0002-0169-8602","id":"105344","full_name":"Gerritzen, Johannes","first_name":"Johannes"},{"full_name":"Hornig, Andreas","last_name":"Hornig","first_name":"Andreas"},{"first_name":"Peter","last_name":"Winkler","full_name":"Winkler, Peter"},{"first_name":"Maik","last_name":"Gude","full_name":"Gude, Maik"}],"publisher":"European Society for Composite Materials (ESCM)","date_updated":"2026-02-27T06:46:21Z","doi":"10.60691/yj56-np80","title":"Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning","publication":"ECCM21 - Proceedings of the 21st European Conference on Composite Materials","type":"conference","status":"public","abstract":[{"lang":"eng","text":"Fiber reinforced plastics (FRP) exhibit strongly non-linear deformation behavior. To capture this in simulations, intricate models with a variety of parameters are typically used. The identification of values for such parameters is highly challenging and requires in depth understanding of the model itself. Machine learning (ML) is a promising approach for alleviating this challenge by directly predicting parameters based on experimental results. So far, this works mostly for purely artificial data. In this work, two approaches to generalize to experimental data are investigated: a sequential approach, leveraging understanding of the constitutive model and a direct, purely data driven approach. This is exemplary carried out for a highly non-linear strain rate dependent constitutive model for the shear behavior of FRP.The sequential model is found to work better on both artificial and experimental data. It is capable of extracting well suited parameters from the artificial data under realistic conditions. For the experimental data, the model performance depends on the composition of the experimental curves, varying between excellently suiting and reasonable predictions. Taking the expert knowledge into account for ML-model training led to far better results than the purely data driven approach. Robustifying the model predictions on experimental data promises further improvement. "}],"user_id":"105344","_id":"62078","project":[{"_id":"130","name":"TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"name":"TRR 285 - Subproject A03","_id":"137"},{"name":"TRR 285 - Project Area A","_id":"131"}],"language":[{"iso":"eng"}],"keyword":["Direct parameter identification","Machine learning","Convolutional neural networks","Strain rate dependency","Fiber reinforced plastics","woven composites","segmentation","synthetic training data","x-ray computed tomography"]},{"status":"public","abstract":[{"lang":"eng","text":"Robots interacting with humans need to understand actions and make use of language in social interactions. Research on infant development has shown that language helps the learner to structure visual observations of action. This acoustic information typically in the form of narration overlaps with action sequences and provides infants with a bottom-up guide to find structure within them. This concept has been introduced as acoustic packaging by Hirsh-Pasek and Golinkoff. We developed and integrated a prominence detection module in our acoustic packaging system to detect semantically relevant information linguistically highlighted by the tutor. Evaluation results on speech data from adult-infant interactions show a significant agreement with human raters. Furthermore a first approach based on acoustic packages which uses the prominence detection results to generate acoustic feedback is presented. Index Terms: prominence, multimodal action segmentation, human robot interaction, feedback"}],"publication":"Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)","type":"conference","language":[{"iso":"eng"}],"keyword":["Feedback","Human Robot Interaction","Prominence","Multimodal Action Segmentation"],"department":[{"_id":"749"}],"user_id":"14931","_id":"17244","page":"3105-3108","citation":{"ama":"Schillingmann L, Wagner P, Munier C, Wrede B, Rohlfing K. Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios. In: <i>Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)</i>. ; 2011:3105-3108.","ieee":"L. Schillingmann, P. Wagner, C. Munier, B. Wrede, and K. Rohlfing, “Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios,” in <i>Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)</i>, 2011, pp. 3105–3108.","chicago":"Schillingmann, Lars, Petra Wagner, Christian Munier, Britta Wrede, and Katharina Rohlfing. “Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios.” In <i>Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)</i>, 3105–8, 2011.","apa":"Schillingmann, L., Wagner, P., Munier, C., Wrede, B., &#38; Rohlfing, K. (2011). Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios. <i>Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)</i>, 3105–3108.","mla":"Schillingmann, Lars, et al. “Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios.” <i>Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)</i>, 2011, pp. 3105–08.","short":"L. Schillingmann, P. Wagner, C. Munier, B. Wrede, K. Rohlfing, in: Interspeech 2011 (12th Annual Conference of the International Speech Communication Association), 2011, pp. 3105–3108.","bibtex":"@inproceedings{Schillingmann_Wagner_Munier_Wrede_Rohlfing_2011, title={Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios}, booktitle={Interspeech 2011 (12th Annual Conference of the International Speech Communication Association)}, author={Schillingmann, Lars and Wagner, Petra and Munier, Christian and Wrede, Britta and Rohlfing, Katharina}, year={2011}, pages={3105–3108} }"},"year":"2011","title":"Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios","date_created":"2020-06-24T13:02:10Z","author":[{"first_name":"Lars","full_name":"Schillingmann, Lars","last_name":"Schillingmann"},{"first_name":"Petra","last_name":"Wagner","full_name":"Wagner, Petra"},{"first_name":"Christian","full_name":"Munier, Christian","last_name":"Munier"},{"full_name":"Wrede, Britta","last_name":"Wrede","first_name":"Britta"},{"first_name":"Katharina","last_name":"Rohlfing","id":"50352","full_name":"Rohlfing, Katharina"}],"date_updated":"2023-02-01T12:53:54Z"},{"type":"conference","status":"public","department":[{"_id":"749"}],"user_id":"14931","_id":"17245","language":[{"iso":"eng"}],"keyword":["Prominence","Multimodal Action Segmentation","Feedback","Color Saliency","Human Robot Interaction"],"publication_identifier":{"issn":["1662-5188"]},"citation":{"ama":"Schillingmann L, Wagner P, Munier C, Wrede B, Rohlfing K. Acoustic Packaging and the Learning of Words. In: ; 2011. doi:<a href=\"https://doi.org/10.3389/conf.fncom.2011.52.00020\">10.3389/conf.fncom.2011.52.00020</a>","ieee":"L. Schillingmann, P. Wagner, C. Munier, B. Wrede, and K. Rohlfing, “Acoustic Packaging and the Learning of Words,” 2011, doi: <a href=\"https://doi.org/10.3389/conf.fncom.2011.52.00020\">10.3389/conf.fncom.2011.52.00020</a>.","chicago":"Schillingmann, Lars, Petra Wagner, Christian Munier, Britta Wrede, and Katharina Rohlfing. “Acoustic Packaging and the Learning of Words,” 2011. <a href=\"https://doi.org/10.3389/conf.fncom.2011.52.00020\">https://doi.org/10.3389/conf.fncom.2011.52.00020</a>.","bibtex":"@inproceedings{Schillingmann_Wagner_Munier_Wrede_Rohlfing_2011, title={Acoustic Packaging and the Learning of Words}, DOI={<a href=\"https://doi.org/10.3389/conf.fncom.2011.52.00020\">10.3389/conf.fncom.2011.52.00020</a>}, author={Schillingmann, Lars and Wagner, Petra and Munier, Christian and Wrede, Britta and Rohlfing, Katharina}, year={2011} }","short":"L. Schillingmann, P. Wagner, C. Munier, B. Wrede, K. Rohlfing, in: 2011.","mla":"Schillingmann, Lars, et al. <i>Acoustic Packaging and the Learning of Words</i>. 2011, doi:<a href=\"https://doi.org/10.3389/conf.fncom.2011.52.00020\">10.3389/conf.fncom.2011.52.00020</a>.","apa":"Schillingmann, L., Wagner, P., Munier, C., Wrede, B., &#38; Rohlfing, K. (2011). <i>Acoustic Packaging and the Learning of Words</i>. <a href=\"https://doi.org/10.3389/conf.fncom.2011.52.00020\">https://doi.org/10.3389/conf.fncom.2011.52.00020</a>"},"year":"2011","author":[{"first_name":"Lars","full_name":"Schillingmann, Lars","last_name":"Schillingmann"},{"full_name":"Wagner, Petra","last_name":"Wagner","first_name":"Petra"},{"full_name":"Munier, Christian","last_name":"Munier","first_name":"Christian"},{"first_name":"Britta","full_name":"Wrede, Britta","last_name":"Wrede"},{"last_name":"Rohlfing","id":"50352","full_name":"Rohlfing, Katharina","first_name":"Katharina"}],"date_created":"2020-06-24T13:02:11Z","date_updated":"2023-02-01T12:54:16Z","doi":"10.3389/conf.fncom.2011.52.00020","title":"Acoustic Packaging and the Learning of Words"},{"type":"journal_article","publication":"IEEE Journal of Selected Topics in Signal Processing","status":"public","abstract":[{"text":"For an environment to be perceived as being smart, contextual information has to be gathered to adapt the system's behavior and its interface towards the user. Being a rich source of context information speech can be acquired unobtrusively by microphone arrays and then processed to extract information about the user and his environment. In this paper, a system for joint temporal segmentation, speaker localization, and identification is presented, which is supported by face identification from video data obtained from a steerable camera. Special attention is paid to latency aspects and online processing capabilities, as they are important for the application under investigation, namely ambient communication. It describes the vision of terminal-less, session-less and multi-modal telecommunication with remote partners, where the user can move freely within his home while the communication follows him. The speaker diarization serves as a context source, which has been integrated in a service-oriented middleware architecture and provided to the application to select the most appropriate I/O device and to steer the camera towards the speaker during ambient communication.","lang":"eng"}],"user_id":"460","department":[{"_id":"54"}],"_id":"11892","language":[{"iso":"eng"}],"keyword":["audio streaming","audio visual data streaming","context information speech","face identification","face recognition","image segmentation","middleware","multimodal telecommunication","online diarization","service oriented middleware architecture","sessionless telecommunication","software architecture","speaker identification","speaker localization","speaker recognition","steerable camera","telecommunication computing","temporal segmentation","terminal-less telecommunication","video streaming"],"issue":"5","quality_controlled":"1","citation":{"apa":"Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2010). Online Diarization of Streaming Audio-Visual Data for Smart Environments. <i>IEEE Journal of Selected Topics in Signal Processing</i>, <i>4</i>(5), 845–856. <a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">https://doi.org/10.1109/JSTSP.2010.2050519</a>","bibtex":"@article{Schmalenstroeer_Haeb-Umbach_2010, title={Online Diarization of Streaming Audio-Visual Data for Smart Environments}, volume={4}, DOI={<a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>}, number={5}, journal={IEEE Journal of Selected Topics in Signal Processing}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2010}, pages={845–856} }","short":"J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing 4 (2010) 845–856.","mla":"Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming Audio-Visual Data for Smart Environments.” <i>IEEE Journal of Selected Topics in Signal Processing</i>, vol. 4, no. 5, 2010, pp. 845–56, doi:<a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>.","ama":"Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual Data for Smart Environments. <i>IEEE Journal of Selected Topics in Signal Processing</i>. 2010;4(5):845-856. doi:<a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>","ieee":"J. Schmalenstroeer and R. Haeb-Umbach, “Online Diarization of Streaming Audio-Visual Data for Smart Environments,” <i>IEEE Journal of Selected Topics in Signal Processing</i>, vol. 4, no. 5, pp. 845–856, 2010, doi: <a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>.","chicago":"Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming Audio-Visual Data for Smart Environments.” <i>IEEE Journal of Selected Topics in Signal Processing</i> 4, no. 5 (2010): 845–56. <a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">https://doi.org/10.1109/JSTSP.2010.2050519</a>."},"page":"845-856","intvolume":"         4","year":"2010","author":[{"first_name":"Joerg","last_name":"Schmalenstroeer","id":"460","full_name":"Schmalenstroeer, Joerg"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"date_created":"2019-07-12T05:30:16Z","volume":4,"oa":"1","date_updated":"2023-10-26T08:10:18Z","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/ScHa10.pdf","open_access":"1"}],"doi":"10.1109/JSTSP.2010.2050519","title":"Online Diarization of Streaming Audio-Visual Data for Smart Environments"}]