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Sonderforschungsbereich 1483/1 - Empathokinästhetische Sensorik - Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (SFB EmpkinS)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg Zentralbereich
DFG-Sonderforschungsbereiche/ Transregios/Transferbereiche
Overview
Publications
(272)
Research Grants
(26)
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Journal article
Journal article
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Optimizing Continuous-Wave Radars for Vital-Sign Detection: System Design Challenges and Limitations (2023)
Michler F
Conference contribution, other
Towards postural control simulation using a sensorimotor enhanced musculoskeletal human model (2023)
Shanbhag J, Fleischmann S, Eskofier B, Koelewijn A, Wartzack S, Miehling J
Conference contribution, Abstract of a poster
Time vs. Space: Comparing gait cycle normalization methods and their effect on foot placement control (2023)
Fleischmann S, Shanbhag J, Miehling J, Wartzack S, Leyendecker S, Koelewijn A, Eskofier B
Conference contribution, Abstract of a poster
A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar (2023)
Eisele B, Bereyhi A, Ullmann I, Müller R
Conference contribution, Conference Contribution
A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging (2023)
Bräunig J, Schüßler C, Wirth V, Stamminger M, Ullmann I, Vossiek M
Conference contribution
On the inclusion of motion capture data in optimal control simulations of the human hand (2023)
Heinrich S, Coppers B, Liphardt AM, Leyendecker S
Conference contribution, Conference Contribution
Optimal Energy Signal Design for Multi-user MISO WPCNs with Non-linear Energy Harvesting Circuits (2023)
Shanin N, Hagelauer A, Cottatellucci L, Schober R
Journal article
Palliative Care and new technologies. The use of smart sensor technologies and its impact on the Total Care principle (2023)
Ott T, Heckel M, Öhl N, Steigleder T, Albrecht N, Ostgathe C, Dabrock P
Journal article
DEEP PROBABILISTIC MODEL FOR LOSSLESS SCALABLE POINT CLOUD ATTRIBUTE COMPRESSION (2023)
Nguyen DT, Nambiar KG, Kaup A
Conference contribution, Original article
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. (2023)
Ullrich M, Roth N, Küderle A, Richer R, Gladow T, Gaßner H, Marxreiter F, et al.
Journal article
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