Year 2020
- Bauer, J.; Wittenberg, Th.; Waldhör, K; Hechtel, M.; Holzwarth, M.; Sessner, J.; Ristok, B.; Böhle, F.; Schena, A.; Falanga, A.; Franke, J.; (2020): A Concept for Context Awareness in Smart Environments. Accepted, to appear in Current Directions in Biomedical Engineering 5(3).
- F Flachenecker, H Gaßner, J Hannik, DH Lee, P Flachenecker, J Winkler, B Eskofier, RA Linker, J Klucken (2020): Objective sensor-based gait measures reflect motor impairment in multiple sclerosis patients: Reliability and clinical validation of a wearable sensor device. Multiple Sclerosis and Related Disorders 39 (2020), Art. 101903
- H Gaßner, D Jensen, F Marxreiter, A Kletsch, S Bohlen, R Schubert, KM Muratori, B Eskofier, J Klucken, J Winkler, R Reilmann, Z Kohl (2020): Gait variability as digital biomarker of disease severity in Huntington's disease. J Neurol 267, pp. 1594–1601.
- M Gjoreski, M Gams, M Luštrek, P Genc, JU Garbas, T Hassan (2020): Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions from Physiological and Visual Signals. IEEE access 8 (2020), S.70590-70603, ISSN: 2169-3536
- A Hamper, L Neitzel, N Wickramasinghe, F Bodendorf, F. (2020). Towards a medical tricorder: A 3D map to categorize diseases for self-care with mobile technology. In Delivering Superior Health and Wellness Management with IoT and Analytics, pp. 3–39. Springer, Cham.
- T. Luguev, D Seuß, JU Garbas (2020) Deep Learning based Affective Sensing with Remote Photoplethysmography. IEEE 54th Annual Conference on Information Sciences and Systems, CISS 2020 : 18-20 March 2020, Princeton, NJ, USA, pp. 360-363
- R Koch, N Pfeiffer, N Lang, B Eskofier, O Amft, M Struck, T Wittenberg (2020): Evaluation of HRV extraction algorithms from PPG data using neural networks. Accepted, to appear in Current Directions in Biomedical Engineering 5(3)
- F Marxreiter, U Buttler, H Gassner, F Gandor, T Gladow, B Eskofier, J Winkler, G Ebersbach, J Klucken (2020): The Use of Digital Technology and Media in German Parkinson's Disease Patients. J Parkinson's disease: JPD 10 (2020), Nr.2, pp. 717-727
- Boutros F.; Damer N.; Fang M.; Raja, K.; Kirchbuchner, F.; Arjan K.: Compact Models for Periocular Verification Through Knowledge Distillation. In: A Brömme et al. (Hrs) ; Proc‘s BIOSIG 2020, 19th Int. Conf. of the Biometrics Special Interest Group. 16.-18.09.2020, Fully Virtual Conference Bonn: GI, 2020, S.291-298
- Terhörst, P.; Tran, M.L.; Damer, N.; Kirchbuchner, F.; Kuijper, A.: Comparison-Level Mitigation of Ethnic Bias in Face Recognition.
In: Proc‘s IEEE 8th Int. Workshop on Biometrics and Forensics, IWBF 2020. 29-30. 4. 2020, Porto, Portugal. DOI: http://dx.doi.org/10.1109/IWBF49977.2020.9107956 - Fu, B.; Kirchbuchner, F.; Kuijper, A. : Data augmentation for time series: Traditional vs. generative models on capacitive proximity time series. In: Proc‘s13th ACM Int. Conf. on PErvasive Technologies Related to Assistive Environments PETRA 2020,. 30.6 – 3.7.2020, Virtual Conference. DOI: http://dx.doi.org/10.1145/3389189.3392606
- Fang, M.; Damer, N.; Boutros, F.; Kirchbuchner, F.; Kuijper, A. : Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection. In: Proc‘s Int Conf on Information Fusion FUSION 2020. DOI: http://dx.doi.org/10.23919/FUSION45008.2020.9190424
- Rus, S.; Helfmann, S; Kirchbuchner, F; Kuijper, A.: Designing smart home controls for elderly. In: Proc‘s13th ACM Int. Conf. on PErvasive Technologies Related to Assistive Environments PETRA 2020,. 30.6 – 3.7.2020, Virtual Conference. DOI: http://dx.doi.org/10.1145/3389189.3392610
- Damer, N.; Grebe, J. H.; Chen, C.; Boutros, F.; Kirchbuchner, F.; Kuijper, A.: The Effect of Wearing a Mask on Face Recognition Performance. An Exploratory Study. In: A Brömme et al. (Hrs); Proc‘s BIOSIG 2020, 19th Int. Conf. of the Biometrics Special Interest Group. 16.-18.09.2020, Fully Virtual Conference Bonn: GI, 2020. S.1-10
- Fu, B.; Jarms, L.; Kirchbuchner, F.; Kuijper, A.: ExerTrack - Towards Smart Surfaces to Track Exercises. In: Technologies 8 (2020), Nr.1, Art. 17.
DOI: http://dx.doi.org/10.3390/technologies8010017 - Boutros, F.; Damer, N.; Raja, K.; Ramachandra, R.; Kirchbuchner, F.; Kuijper, A.: Fusing Iris and Periocular Region for User Verification in Head Mounted Displays.In: Proc‘s Int Conf on Information Fusion FUSION 2020. DOI: http://dx.doi.org/10.23919/FUSION45008.2020.9190282
- Boutros, F.; Damer, N.; Raja, K.; Ramachandra, R.;; Kirchbuchner, F.; Kuijper, A. : Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation. In: Image and Vision Computing 104 (2020), Art. 104007, DOI: http://dx.doi.org/10.1016/j.imavis.2020.104007
- Terhörst, P.; Riehl, K.; Damer, N.; Rot, P.; Bortolato, B.; Kirchbuchner, F.; Struc, V.; Kuijper, A.: PE-MIU: A Training-Free Privacy-Enhancing Face Recognition Approach Based on Minimum Information Units. In: IEEE access 8 (2020), S.93635-93647. DOI: http://dx.doi.org/10.1109/ACCESS.2020.2994960
- Terhörst, P.; Huber, M.; Damer, N.; Rot, P.; Kirchbuchner, F.; Struc, V.; Kuijper, A. : Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies.
In: A Brömme et al. (Hrs) ; Proc‘s BIOSIG 2020, 19th Int. Conf. of the Biometrics Special Interest Group. 16.-18.09.2020, Fully Virtual Conference Bonn: GI, 2020. pp. 215-222
(GI-Edition - Lecture Notes in Informatics (LNI). Proceedings P-306) - Fu, B.; Damer, N.; Kirchbuchner, F. ; Kuijper, A. : Sensing Technology for Human Activity Recognition: A Comprehensive Survey.
In: IEEE access 8 (2020), S.83791-83820. DOI: http://dx.doi.org/10.1109/ACCESS.2020.2991891 - Terhörst, P.; Kolf, J.N.; Damer, N.; Kirchbuchner, F.; Kuijper, A.: SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness.In: Proc‘s Virtual Conf. on Computer Vision and Pattern Recognition, CVPR 2020, 14 - 19 June 2020, S.5650-5659. DOI: http://dx.doi.org/10.1109/CVPR42600.2020.00569
- Fu, B.; Kirchbuchner, F; Kuijper, A.: Unconstrained workout activity recognition on unmodified commercial off-the-shelf smartphones. In: Proc‘s13th ACM Int. Conf. on PErvasive Technologies Related to Assistive Environments PETRA 2020,. 30.6 – 3.7.2020, Virtual Conference. DOI: http://dx.doi.org/10.1145/3389189.3389195