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


close-button

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Unpublished / Preprint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

From
To

Abstract

Journal

A 0.8V, 16mW, 170.5dB FOM Integrated 20-GHz VCO and Frequency Tripler for 60-GHz Short-Range Radio Transmitters in 22-nm FDSOI (2024) Gupta A, Tas D, Dietz M, Hagelauer A Conference contribution A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable (2024) Earp BD, Porsdam Mann S, Allen J, Salloch S, Suren V, Jongsma K, Braun M, et al. Journal article Is digital sovereignty normatively desirable? (2024) Braun M, Hummel P Journal article Algorithmic Biases in Health - Social-ethical challenges and perspectives (2024) Hille EM Conference contribution Meaningful Human Control over AI for Health? A Review (2024) Hille EM, Hummel P, Braun M Conference contribution, Conference Contribution Classification of rheumatoid arthritis from hand motion capture data using machine learning (2024) Fleischmann S, Holzwarth Correa V, Coppers B, Sadeghi M, Richer R, Kleyer A, Simon D, et al. Conference contribution, Conference Contribution Optimal Control Simulation of Full Hand Flexion MovementsExploiting Optical Marker Tracking (2024) Heinrich S, Coppers B, Liphardt AM, Leyendecker S Conference contribution, Conference Contribution Comparison of muscle path predictions using OpenSim and anovel geodesic model (2024) Chen X, Lavaill M, Heinrich S, Pivonka P, Leyendecker S Conference contribution, Conference Contribution Comparison of muscle path predictions using OpenSim and a novel geodesic model (2024) Chen X, Lavaill M, Heinrich S, Pivonka P, Leyendecker S Conference contribution, Conference Contribution Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach (2024) Fleischmann S, Dietz S, Shanbhag J, Wünsch A, Nitschke M, Miehling J, Wartzack S, et al. Journal article, Original article