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Publications

Dadgar, A., & Brunnett, G. (2023). Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. https://doi.org/10.5220/0011781000003411
Dadgar, A., & Brunnett, G. (2023). Hand Segmentation with Mask-RCNN Using Mainly Synthetic Images as Training Sets and Repetitive Training Strategy. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. https://doi.org/10.5220/0011658900003417
Naik, D., Reber, M., Uhlmann, T., & Brunnett, G. (2023). (in press). Person detection and differentiation in shopping scenarios. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Rudolph, C., Brunnett, G., Bretschneider, M., Meyer, B., & Asbrock, F. (2023). TechnoSapiens: merging humans with technology in augmented reality. The Visual Computer. https://doi.org/10.1007/s00371-023-02829-7
Rudolph, C., Dadgar, S.-A., Bretschneider, M., Meyer, B., Asbrock, F., & Brunnett, G. (2023). (in press). Towards TechnoSapiens: Experiencing Embodied Technologies in Augmented Reality. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
Uhlmann, T., Bräuer, S., Zaumseil, F., & Brunnett, G. (2023). A Novel Inexpensive Camera-Based Photoelectric Barrier System for Accurate Flying Sprint Time Measurement. Sensors, 23(17). https://doi.org/10.3390/s23177339
Uhlmann, T., Dadgar, S.-A., Weigand, F., & Brunnett, G. (2023). (in press). A novel Framework for the Generation of Synthetic Datasets with Applications to Hand Detection and Segmentation. In B. Meyer, U. Thomas, … O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies.
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