This project investigates the feasibility of estimating human walking poses using SensFloor capacitive floor signals. It was conducted at the Technical University of Würzburg-Schweinfurt (THWS). For a detailed analysis of the study, methodology, and results, please refer to the SensFloor-Paper Repository.
This organization serves as the central hub for the various software modules used in the study.
- sensfloor-pipeline: Data collection, training, and inference.
- sensfloor-frontend: Real-time visualization of the estimated poses.
- sensfloor-paper: Documentation, methodology, and the final research results.
