Sonderforschungsbereich 1483/1 - Empathokinästhetische Sensorik - Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (SFB EmpkinS)


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

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