The IEEE Circuits and Systems Society is the leading organization that promotes the advancement of the theory, analysis, computer-aided design and practical implementation of circuits, and the application of circuit theoretic techniques to systems and signal processing.
The 23rd IEEE International NEWCAS Conference were held in Paris, France on June 22 – 25, 2025.
Manon Lambert, a PhD student in the ICube UNISTRA team, took part in the IEE NEWCAS.
A joint publication with the FHNW team and BellwaldTec has been accepted and will be published on IEEE Xplore :
“Machine-learning algorithm applied to magnetic localization“.
During the conference, a poster was presented highlighting the research carried out by the ICube team and its potential applications in magnetic localization.
Magnetic localization is a technique widely used in the biomedical field to track objects in environments without direct line of sight. The versatility of this technology allows it to be applied to various problems such as:
- indoor localization,
- needle tracking for surgery,
- motion tracking in the entertainment industry.
Beyond its traditional uses, magnetic localization now enables advanced applications such as body scanning. In this type of application, a set of magnetic sensors is placed on the object whose shape is to be determined. The position of each sensor is calculated using magnetic localization, and the resulting point cloud is used to reconstruct the scanned shape.